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Paper Citation Record · LEDGER

What's In My Big Data?

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2310.20707.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2310.20707 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:55:55.817065Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b002b60b-27de-4adc-bf97-bfa568e5cb21 · inbound

DataComp-LM: In search of the next generation of training sets for language models cites this paper.

DataComp-LM: In search of the next generation of training sets for language models What's In My Big Data?

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-17T22:58:16.939137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-17T22:58:16.523267Z digest=sha256:93846a61829090667afaa35015c48c582df014371d22e907493dfb559dcdecdb

Observation c52979e5-42d2-4ccd-9df7-d7b6289b3bfc · inbound

Why you don't overfit, and don't need Bayes if you only train for one epoch cites this paper.

Why you don't overfit, and don't need Bayes if you only train for one epoch What's In My Big Data?

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-12T17:41:13.362326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:41:13.362326Z digest=sha256:41d191be96c37a8829041d27d5fa00a9d3e129985abe6069ca1d10bfffd228ad

Observation 395c4056-18bf-4ad1-b4d3-c613d8471d48 · inbound

Do Large Language Models Perform Latent Multi-Hop Reasoning without Exploiting Shortcuts? cites this paper.

Do Large Language Models Perform Latent Multi-Hop Reasoning without Exploiting Shortcuts? What's In My Big Data?

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-12T12:53:38.757214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:53:38.757214Z digest=sha256:5c93529dae8b66f5f456d8dd499068846dd3c2708a24a058bb65e949190b6854

Observation 29ca1ca0-fa16-454b-9631-751f0996d69b · inbound

QUENCH: Measuring the gap between Indic and Non-Indic Contextual General Reasoning in LLMs cites this paper.

QUENCH: Measuring the gap between Indic and Non-Indic Contextual General Reasoning in LLMs What's In My Big Data?

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T14:40:29.398680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:40:29.398680Z digest=sha256:5e14b5d58e14ae4c90e431ac0d4e1cf4de47aab032d27b765e88b5845e70823e

Observation 7272a417-295f-48ce-bef7-24b43843b345 · inbound

The Only Way is Ethics: A Guide to Ethical Research with Large Language Models cites this paper.

The Only Way is Ethics: A Guide to Ethical Research with Large Language Models What's In My Big Data?

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-11T10:54:58.048417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T10:54:58.048417Z digest=sha256:7b5aca9435aa0468afeb18625902976ceb9bd921b809b1e239975076a3cc13c8

Observation 33f2937e-0bc1-43d9-83b9-cd1f289b484d · inbound

SEDD: Scalable and Efficient Dataset Deduplication with GPUs cites this paper.

SEDD: Scalable and Efficient Dataset Deduplication with GPUs What's In My Big Data?

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-23T06:47:39.594156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T06:45:53.685914Z digest=sha256:9eec048b480dc256e896de191c68c2c360bab03c709e53098ce9df2b6c940716

Observation 5ae461c9-c898-420c-b213-f8fcb1ae830b · inbound

The Generative AI Ethics Playbook cites this paper.

The Generative AI Ethics Playbook What's In My Big Data?

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-11T13:15:10.468745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:15:10.468745Z digest=sha256:eb2d906da27639f57d8f1c6be11548298cce90ff6c6f7cb3a8fa5206c9be39e8

Observation 7ca9bc2e-30b1-43e0-a674-bf7331d30c47 · inbound

Texture: Structured Exploration of Text Datasets cites this paper.

Texture: Structured Exploration of Text Datasets What's In My Big Data?

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-16T10:55:55.817065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:55:55.817065Z digest=sha256:cd75bf6a410b15f7dca0f5a5036fff13d6ad1050ba9b4b6705122c4d54f9c590

Observation 835cd723-bc47-44da-9dcf-de36e9846334 · inbound

AdaParse: An Adaptive Parallel PDF Parsing and Resource Scaling Engine cites this paper.

AdaParse: An Adaptive Parallel PDF Parsing and Resource Scaling Engine What's In My Big Data?

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-16T10:53:48.784978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:53:48.784978Z digest=sha256:1269ca9b92862857fb36e5b39b99c54817ec36013d7fddf5e48188e5d460d9c5

Observation 417c29a1-1790-48b0-841d-b33fb7f82d99 · inbound

Diagnosing our datasets: How does my language model learn clinical information? cites this paper.

Diagnosing our datasets: How does my language model learn clinical information? What's In My Big Data?

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T15:29:05.747482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:29:05.747482Z digest=sha256:56b140442f8d3d5e4ea2e0b8fb3fcb1239bb5e2a31b8447162b540fdbfad66e9

Observation 5131c0db-036d-4c6d-8c5b-5bc4215a88ba · inbound

TEDI: Trustworthy and Ethical Dataset Indicators to Analyze and Compare Dataset Documentation cites this paper.

TEDI: Trustworthy and Ethical Dataset Indicators to Analyze and Compare Dataset Documentation What's In My Big Data?

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T14:42:05.684039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:42:05.684039Z digest=sha256:df7d29a4d525695ba0beda187c97bd6d605654736a49d4bdcc70b9ed1c89bd74

Observation 9a228cce-87df-49ef-a69e-aab297687dc2 · inbound

SAGE-Eval: Evaluating LLMs for Systematic Generalizations of Safety Facts cites this paper.

SAGE-Eval: Evaluating LLMs for Systematic Generalizations of Safety Facts What's In My Big Data?

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T13:28:24.273926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:28:24.273926Z digest=sha256:2d172272ceb2597a62ebff56e0e691056b94bd0aaef46df0f346c3c2fcf1ebec

Observation 7ff24b6c-da73-41cd-aa42-6b7c0ba0c349 · inbound

Hierarchical Fine-grained Preference Optimization for Physically Plausible Video Generation cites this paper.

Hierarchical Fine-grained Preference Optimization for Physically Plausible Video Generation What's In My Big Data?

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-05T20:20:20.607812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:20:20.607812Z digest=sha256:731b4a91c1ae4b34e5de8d9ae3385da7ace8153b7780d1477ec43f09638f677b

Observation 23fa2e10-e2fa-4aba-abf4-96e4adab8997 · inbound

From Black Box to Transparency: Enhancing Automated Interpreting Assessment with Explainable AI in College Classrooms cites this paper.

From Black Box to Transparency: Enhancing Automated Interpreting Assessment with Explainable AI in College Classrooms What's In My Big Data?

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-05T20:17:45.251124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:17:45.251124Z digest=sha256:742235fb53378071058b87ff211d9e7f79bfa55f47a72bb7993a9e559f33c249

Observation afcde8df-0f8b-4a2b-a69f-13ba1782e996 · inbound

User Privacy and Large Language Models: An Analysis of Frontier Developers' Privacy Policies cites this paper.

User Privacy and Large Language Models: An Analysis of Frontier Developers' Privacy Policies What's In My Big Data?

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-05T06:00:20.408276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T06:00:20.408276Z digest=sha256:cebef01ad2ff075212abfe8b49a6d91320abb2367f3af6b3ece60578093a1567

Observation 5577f47a-9b6c-464b-83d9-3e5e31a6150a · inbound

BLISS: A Lightweight Bilevel Influence Scoring Method for Data Selection in Language Model Pretraining cites this paper.

BLISS: A Lightweight Bilevel Influence Scoring Method for Data Selection in Language Model Pretraining What's In My Big Data?

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-04T11:16:09.166073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T11:16:09.166073Z digest=sha256:1835b5b9ad052f02a67dc878fa30da7984a01d9631b264cacd72548d8f25399e

Observation 008b6891-cb26-4bb6-93a5-4b182f673148 · inbound

SPAGBias: Uncovering and Tracing Structured Spatial Gender Bias in Large Language Models cites this paper.

SPAGBias: Uncovering and Tracing Structured Spatial Gender Bias in Large Language Models What's In My Big Data?

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T11:55:20.875525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-10T11:52:49.311085Z digest=sha256:efa3608e0c9f4211c71446399be75d7a5cf8a5121bb4244a39825ee06e39957b

Observation f7c53a5a-a6e7-4cac-91bc-17cc28b58910 · inbound

Synthetic Pre-Pre-Training Improves Language Model Robustness to Noisy Pre-Training Data cites this paper.

Synthetic Pre-Pre-Training Improves Language Model Robustness to Noisy Pre-Training Data What's In My Big Data?

Reference 50

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T07:11:25.726433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-12T03:38:39.738401Z digest=sha256:39aa9ed6b79b2efb80dcde04f28229a4a163a6f6106bb15b47b7065a4f262700

Observation 8a530390-66cc-4412-a8a0-60aa3fffd759 · inbound

TeraGram: A Structured Longitudinal Dataset of the Telegram Messenger cites this paper.

TeraGram: A Structured Longitudinal Dataset of the Telegram Messenger What's In My Big Data?

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T19:22:44.597004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-19T19:18:44.236657Z digest=sha256:e90c388932e7c0d448e5e9566b924083703d51892a2b7c5d0a19fe07ca60b2a4

Observation 45553b94-d368-4153-9358-2da40e963354 · inbound

Child-directed speech facilitates production, not comprehension, in BabyLMs cites this paper.

Child-directed speech facilitates production, not comprehension, in BabyLMs What's In My Big Data?

Reference 285

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T17:32:24.574090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-28T17:28:32.405210Z digest=sha256:3c2a7edff74029e51a1e8e310921d05911e4ec4421d195f17b21c6f6c4a4bace

Observation ecedfefb-2d99-4fa4-96d2-a8360eec71b3 · inbound

GLAN-QnA-KR: A Seedless Taxonomy-Driven Korean Instruction Corpus cites this paper.

GLAN-QnA-KR: A Seedless Taxonomy-Driven Korean Instruction Corpus What's In My Big Data?

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-02T14:15:04.508635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:15:04.508635Z digest=sha256:dbcb654495324fca55e0ed568b52756acfefb62cbf7db6d0d27019ba1382228f