References & Key Data Recall Audio Style — Recover What Was Named

What the References & Key Data Recall audio style is

References & Key Data Recall is Podhoc’s recap format — it goes back through your sources and collects what was named in them: books, authors, studies, papers, tools, organisations, statistics and dates. Every other style rewrites the argument of a source for audio. This one does something narrower and, for certain sources, far more useful: it treats the source as a bibliography that nobody wrote down, and reads that bibliography back to you with the context each item appeared in.

It is one of four Podhoc audio styles restricted by plan. References & Key Data Recall is available on Creator and Pro. The Free tier cannot select it — the option is locked in the style picker rather than silently swapped for another format, and the upgrade path is on the pricing page. Four of the nine styles need Creator or Pro; the other five are available on every plan, Free included.

When to use it

The style was built for one situation in particular, and it generalises from there:

• Long YouTube interviews and podcast-format videos — the two-hour conversation where a guest says “there’s a great book on this” four times and never repeats the title.
• Panel discussions and conference recordings where several speakers each bring their own references.
• Lecture recordings whose reading list was spoken aloud and never posted.
• Reading-heavy articles and reports where the citations are buried in prose rather than collected in a bibliography.
• Your own research backlog — running a source through the recall style first tells you what else you would have to read.

A useful test: if you have ever finished a long video thinking “someone mentioned a study about this and I have no idea how to find it again”, this is the format for that problem.

The style is least useful on short, tightly-written sources that already carry a reference list. If the bibliography exists, you do not need an audio one.

How it sounds

A recall episode does not open with a thesis. It opens by telling you what it found:

“Right — across these two hours, eleven books came up, six named studies, four tools and about a dozen numbers worth keeping. Let’s go through them in the order they were mentioned.”

Each item arrives with the context that made it worth noting:

“About twenty minutes in, the guest recommends a book on attention and distraction — the title as spoken was ‘Stolen Focus’, attributed to Johann Hari. It comes up while they’re arguing that the decline in sustained attention is environmental rather than personal, so it’s the source for that claim rather than a general recommendation.”

Statistics are read back with their attribution attached, because a number without a source is not usable:

“Two figures worth writing down. First, a claimed 23% drop in something the speaker calls ‘deep work hours’ — attributed to an internal survey, not a published study, so treat it accordingly. Second, a figure of roughly four hours a day of screen time, attributed to Ofcom.”

The episode closes with a compact re-read of the whole list, so you can replay the last few minutes rather than the whole episode when you come back to it.

What it cannot do

Two limits are worth stating plainly, because they shape how you should use the output.

It can only surface what is genuinely in the source. The style does not go looking for related reading, and it does not fill a thin source with plausible-sounding titles. If a two-hour video names three books, the recap names three books. A short list is a fact about the source, not a failure of the format.

Spoken names are exactly where speech-to-text is weakest. A book title said quickly in the middle of a sentence, an author with an unfamiliar surname, a title in a language other than the one being spoken — these are the cases where the transcription that feeds the style is least reliable, and a mis-heard name propagates into the recap. Treat every title and author as a lead to verify, not a citation to reuse. Searching the title before you buy or cite it takes seconds and is the difference between a useful tool and a confidently wrong one.

References & Key Data Recall vs. its closest siblings

Recall vs. Simplified Explanation. Both are short and both compress. Simplified Explanation compresses the argument to its takeaways; Recall discards the argument and keeps the artefacts. If you want to know what the source said, use Simplified Explanation. If you want to know what the source pointed at, use Recall.

Recall vs. Deep Dive. Deep Dive explores the same interview conversationally and will mention some of the same books in passing — but it selects for what is interesting, not for what is retrievable. Recall is exhaustive about references and silent about everything else. The pair works well: Deep Dive for the ideas, Recall for the reading list.

Recall vs. Critique. Critique evaluates the evidence a source rests on and will comment on whether a cited study supports the claim made of it. Recall does not judge — it inventories. Use Critique when you want to know if the references hold up, Recall when you want to know what they were.

How to generate a strong recall episode

1. Feed it something long and unscripted. The format’s advantage grows with source length and falls to nearly nothing on a well-referenced article.
2. Keep the duration short. 10 to 20 minutes is plenty for a two-hour source. A recap is dense by construction, and a longer target duration pads it with commentary you did not ask for.
3. Leave it on a single narrator. The default is one voice for a reason; a second voice turns a list into a conversation about a list.
4. Generate it alongside another style, not instead of one. The most common pattern is a Deep Dive for the content and a Recall for the references, from the same source.
5. Verify in one pass at the end. Listen once, note the titles, then search them together rather than pausing after each one.

A worked example

A PhD student watches a two-hour interview with a researcher whose field is adjacent to their own. The conversation is good but relentless, and by the end they remember that several papers were mentioned and none of the names.

They paste the video URL into Podhoc, select References & Key Data Recall, and ask for 15 minutes. The episode returns:

1. Books (4 minutes): Seven titles with authors, each placed at the moment in the conversation where it came up and the claim it was offered in support of.
2. Studies and papers (5 minutes): Five named studies, with the journal or institution where the speaker gave one, and an explicit note where they did not.
3. Tools and organisations (2 minutes): Three software tools and two research groups.
4. Numbers worth keeping (3 minutes): Eight statistics, each with its stated source and a flag where the source was vague.
5. Compact re-read (1 minute): The whole list again, in order, with no context.

The student spends ten minutes verifying the seven book titles, finds that six resolve immediately and one was mis-heard — a surname off by two letters, recovered by searching the topic instead. That is the expected shape of the result, and it is still an hour saved.

Try References & Key Data Recall now

Pick a long interview you enjoyed but cannot fully remember, paste the URL into Podhoc, and choose References & Key Data Recall. 15 minutes is a strong default duration. The style is available on Creator and Pro.

Try Podhoc and generate a recall episode →

Related styles

• Simplified Explanation — the argument compressed, not the references
• Deep Dive — the conversation explored, with the ideas in front
• Critique — evaluating whether the references hold up
• Extract book references from YouTube videos — the longer guide to this style.
• Back to all audio styles