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Paper Citation Record · LEDGER

What is a Number, That a Large Language Model May Know It?

As of 9 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 5 inbound Pith citation observations for arXiv:2502.01540.

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

pith.paper-citation-record.v1
2502.01540 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T15:05:03.770843Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:30:36.035375Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T10:41:16.008040Z

Reference resolution

25 of 25 outbound references displayed

  • verified exact0
  • verified fuzzy2
  • unresolved23
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 51c6b92a-6ab4-4032-8403-6c9550900f88 · outbound

This paper cites Scaling and evaluating sparse autoencoders.

What is a Number, That a Large Language Model May Know It? Scaling and evaluating sparse autoencoders

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-09T15:05:03.724320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T15:05:03.724320Z digest=sha256:2f5488f3925ded2d8d34a4cc57aff6f2e8270f595bbed732b6c002ac67ebb612

Observation 401c55ea-6fe8-4735-bc5c-fac8ed930e13 · outbound

This paper cites Finding Alignments Between Interpretable Causal Variables and Distributed Neural Representations.

What is a Number, That a Large Language Model May Know It? Finding Alignments Between Interpretable Causal Variables and Distributed Neural Representations

Reference 9

Resolution
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no resolver link, observed 2026-08-09T15:05:03.727012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T15:05:03.727012Z digest=sha256:39644ca607f27a68e8ade143fb4cf0928f1b6c04d6cdf0d9e5c4776f2d399942

Observation 2a728757-69e6-4107-8dfc-7b9658786ebd · outbound

This paper cites Language Models Represent Space and Time.

What is a Number, That a Large Language Model May Know It? Language Models Represent Space and Time

Reference 10

Resolution
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no resolver link, observed 2026-08-09T15:05:03.729593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T15:05:03.729593Z digest=sha256:00a21a68050a33f17d92ed7b2686491c524e6d962442202b6831b4595d9815d2

Observation 103cac41-3917-4ee7-a161-33950e5bb43e · outbound

This paper cites Finding Neurons in a Haystack: Case Studies with Sparse Probing.

What is a Number, That a Large Language Model May Know It? Finding Neurons in a Haystack: Case Studies with Sparse Probing

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-09T15:05:03.732462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T15:05:03.732462Z digest=sha256:7431d86746e3f6f63fd7673647c46bdf5250b87698d8d2a719afce8fd090ca9a

Observation 70509316-394e-421d-ab96-9558ba88831d · outbound

This paper cites GPT-4o System Card.

What is a Number, That a Large Language Model May Know It? GPT-4o System Card

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-09T15:05:03.735295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T15:05:03.735295Z digest=sha256:83984eb8ebf1d9469c2f4c71cdd93d0c56f56bad114235fc408129e9590309d9

Observation 2a53c152-0967-4088-a1e5-a1044c177588 · outbound

This paper cites OpenAI o1 System Card.

What is a Number, That a Large Language Model May Know It? OpenAI o1 System Card

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-09T15:05:03.737871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T15:05:03.737871Z digest=sha256:7ff6247840ee59d1e7af98dd3fd7f9e3617d847283d58b5dcd8da5e8095d5a3e

Observation 0abd83d1-3ab2-4e6a-9d5f-02c81355551d · outbound

This paper cites Mixtral of Experts.

What is a Number, That a Large Language Model May Know It? Mixtral of Experts

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-09T15:05:03.740985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T15:05:03.740985Z digest=sha256:e3b37c54d23e53194e86148a8ca08537d96a294c1dbe6a3a9e091bf71cb71757

Observation 70f163eb-d925-4f97-a422-5621ae9b9db5 · outbound

This paper cites Language Models (Mostly) Know What They Know.

What is a Number, That a Large Language Model May Know It? Language Models (Mostly) Know What They Know

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-09T15:05:03.743658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T15:05:03.743658Z digest=sha256:6de9305bf9752ee0b328b5ee3b89fd4201eabe6dbc0a62ed44fd340117c39d9f

Observation 7705db8b-ab67-4e68-ac7d-5a08e843073e · outbound

This paper cites When a language model is optimized for reasoning, does it still show embers of autoregression? An analysis of OpenAI o1.

What is a Number, That a Large Language Model May Know It? When a language model is optimized for reasoning, does it still show embers of autoregression? An analysis of OpenAI o1

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-09T15:05:03.748959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T15:05:03.748959Z digest=sha256:a99b83cf40a9ab1a4c5525ecb3a9dd25e873c6d74ffcd691087008b82d5a009a

Observation bdee8e7b-d2f3-492e-83e9-f59b50f90375 · outbound

This paper cites Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback.

What is a Number, That a Large Language Model May Know It? Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-09T15:05:03.762908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T15:05:03.762908Z digest=sha256:3142787b861b71f633ab919fb77fb7a8c030089fa4e437dd4eb0558cdf85679b

Observation d7e89f62-c160-4d4e-afeb-33e9cf0b0865 · outbound

This paper cites an and b = b0.

What is a Number, That a Large Language Model May Know It? an and b = b0

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T15:05:03.943530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T15:05:03.765501Z digest=sha256:12e3242604745514104d3e644d613b00211a1661dda2504a8b56b769716c6623

Observation d1eba491-0251-492a-a5b7-856fb8f4a157 · outbound

This paper cites similar” is replaced with “closer.

What is a Number, That a Large Language Model May Know It? similar” is replaced with “closer

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T15:05:03.928326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T15:05:03.770843Z digest=sha256:d4a24d2939b5e08554f103fdb8c97e06cb047fae6df62641c7ddbc1a39a24050

Observation d01bd5e1-87a3-4379-ba09-61b12cee746f · outbound

This paper cites an unresolved cited work.

What is a Number, That a Large Language Model May Know It? Unresolved cited work

Reference 1000

Resolution
unresolved
raw_fallback, observed 2026-08-09T15:05:03.936137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T15:05:03.768279Z digest=sha256:d78298de1583be314bc8c8865935518ace3937b5353980a29577cea5f15c5c98

Observation 7a6945d2-7741-406e-9ba6-183fb5576d04 · outbound

This paper cites DeepSeek-V3 Technical Report.

What is a Number, That a Large Language Model May Know It? DeepSeek-V3 Technical Report

Reference 1966

Resolution
unresolved
no resolver link, observed 2026-08-09T15:05:03.746335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T15:05:03.746335Z digest=sha256:c323b73858cab493fa11e3735cf09f9156d2c335a456982621486a9ff0fcbb86

Observation bb79d603-cbb9-4dc6-b14f-15a515d24bd5 · outbound

This paper cites Progress measures for grokking via mechanistic interpretability.

What is a Number, That a Large Language Model May Know It? Progress measures for grokking via mechanistic interpretability

Reference 1983

Resolution
unresolved
no resolver link, observed 2026-08-09T15:05:03.751714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T15:05:03.751714Z digest=sha256:cd8617d13ceb25207b355966cf5d946771fc528e4ca7ea5d8bf994907333458b

Observation ab2329f8-75d5-4b6c-be6e-1df319ef5d56 · outbound

This paper cites A Mechanistic Interpretation of Arithmetic Reasoning in Language Models using Causal Mediation Analysis.

What is a Number, That a Large Language Model May Know It? A Mechanistic Interpretation of Arithmetic Reasoning in Language Models using Causal Mediation Analysis

Reference 1987

Resolution
unresolved
no resolver link, observed 2026-08-09T15:05:03.757300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T15:05:03.757300Z digest=sha256:581fc8a646bde08d84fe0299ff4027e1c8aff93b731eedde86c9c793976a753c

Observation 2d712037-7380-4801-a27b-44855cd2c7e4 · outbound

This paper cites What do you learn from context? Probing for sentence structure in contextualized word representations.

What is a Number, That a Large Language Model May Know It? What do you learn from context? Probing for sentence structure in contextualized word representations

Reference 2001

Resolution
unresolved
no resolver link, observed 2026-08-09T15:05:03.759944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T15:05:03.759944Z digest=sha256:864d09bf8041de46ac8b9379b55503bddc6a5a615ef5821f1ec7a14a81331461

Observation cbf47824-0e66-42a7-97a6-d4bc582f93ae · outbound

This paper cites Time is Encoded in the Weights of Finetuned Language Models.

What is a Number, That a Large Language Model May Know It? Time is Encoded in the Weights of Finetuned Language Models

Reference 2009

Resolution
unresolved
no resolver link, observed 2026-08-09T15:05:03.754595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T15:05:03.754595Z digest=sha256:8be8481b8c83ca3b8200774d2eec95cac695df32daa270c70290d9148e25b32b

Observation 939a2cdd-f98e-4fef-8772-8f34585cef01 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

What is a Number, That a Large Language Model May Know It? BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 2011

Resolution
unresolved
no resolver link, observed 2026-08-09T15:05:03.718719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T15:05:03.718719Z digest=sha256:66249c98a7135276e4f20b2604be34c509a0ba084179d1634a1199fe51866a25

Observation d433ce8b-345f-4cb2-bfd5-82621f8d205e · outbound

This paper cites Understanding intermediate layers using linear classifier probes.

What is a Number, That a Large Language Model May Know It? Understanding intermediate layers using linear classifier probes

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-09T15:05:03.703196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T15:05:03.703196Z digest=sha256:7993083ae849c641deaf1b03ed7bf87a132eb5f4e9b24fbc4ed2913579140923

Observation 5b979bd5-72c0-4bae-9b4c-27b2ce5510a7 · outbound

This paper cites The Llama 3 Herd of Models.

What is a Number, That a Large Language Model May Know It? The Llama 3 Herd of Models

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-09T15:05:03.721760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T15:05:03.721760Z digest=sha256:e167eb1d6c7b0a6c65e986148cbcd7f5a3850c6cd24511be3ee69a88f700a548

Observation 92629ae2-907d-43ca-b899-effdcd5d17b4 · outbound

This paper cites Sparse Autoencoders Find Highly Interpretable Features in Language Models.

What is a Number, That a Large Language Model May Know It? Sparse Autoencoders Find Highly Interpretable Features in Language Models

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-09T15:05:03.712884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T15:05:03.712884Z digest=sha256:2a022720de4904132eeecf1cb7bdcc5d0f08f95bb62129b9d50ba0e17cb8b439

Observation ac304670-63cf-4b0b-9834-3fddd9434825 · outbound

This paper cites Probing Classifiers: Promises, Shortcomings, and Advances.

What is a Number, That a Large Language Model May Know It? Probing Classifiers: Promises, Shortcomings, and Advances

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-09T15:05:03.709887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T15:05:03.709887Z digest=sha256:5bfbd44a30228b5abf4cf6026ad54ac1d821e28ca736022fb06e3a248bfa6679

Observation 0b115098-7710-4f42-aab4-4afd439d347b · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

What is a Number, That a Large Language Model May Know It? DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-09T15:05:03.715809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T15:05:03.715809Z digest=sha256:b3542b44df4cab822b1d2ae18681b6476d3c95b5eef224e6c2ca1ee442bddf2e

Observation b628d193-d84b-4b76-b054-f8e51536e0dc · outbound

This paper cites Measuring Implicit Bias in Explicitly Unbiased Large Language Models.

What is a Number, That a Large Language Model May Know It? Measuring Implicit Bias in Explicitly Unbiased Large Language Models

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-09T15:05:03.706858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T15:05:03.706858Z digest=sha256:a4147ecc8952414db04555a45c154fa4ee38cd18de77cdeecb0abffa53312452

Pith citing papers

Observation 43934399-abab-4d4e-b9b3-4d3368e5f78e · inbound

The Other Mind: How Language Models Exhibit Human Temporal Cognition cites this paper.

The Other Mind: How Language Models Exhibit Human Temporal Cognition What is a Number, That a Large Language Model May Know It?

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T15:30:36.035375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:30:36.035375Z digest=sha256:b4bfd1e86f14e8f02dad7fa9960d1f3f48f5ab4bedfff03e3f250b4e83d5248a

Observation 6a1156e6-09dc-400e-85b5-ea639e3e2111 · inbound

Modular Arithmetic: Language Models Solve Math Digit by Digit cites this paper.

Modular Arithmetic: Language Models Solve Math Digit by Digit What is a Number, That a Large Language Model May Know It?

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T05:02:53.251521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:02:53.251521Z digest=sha256:cca2efff79939549e02534403cd6646a7d64fc2e9ebf83eb1d226dcbc8713830

Observation bfa72802-79cc-42f5-bd7d-2a09b172135e · inbound

Hypothesis-Driven Feature Manifold Analysis in LLMs via Supervised Multi-Dimensional Scaling cites this paper.

Hypothesis-Driven Feature Manifold Analysis in LLMs via Supervised Multi-Dimensional Scaling What is a Number, That a Large Language Model May Know It?

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-18T10:41:16.010331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T10:39:32.910190Z digest=sha256:691030963ad99360de8f3f847dfa267f9ab6f8a6795007d3511a4d240fc9a488

Observation 2b483f70-a195-4319-b3d0-2788c350841d · inbound

Are Arithmetic Heuristic Neurons Form-Invariant? A Mechanistic Analysis of Symbols, Text, and Code in LLMs cites this paper.

Are Arithmetic Heuristic Neurons Form-Invariant? A Mechanistic Analysis of Symbols, Text, and Code in LLMs What is a Number, That a Large Language Model May Know It?

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-01T20:19:22.232177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T20:19:22.232177Z digest=sha256:e8bc5b9dd2374d267ac0d5efd51839db6305bb954f4a49ce3ce8a97939481a20

Observation 214cc8e6-0061-468e-a30b-83c39115d224 · inbound

Do Music Foundation Models Embed Pitch in Helical Structure? cites this paper.

Do Music Foundation Models Embed Pitch in Helical Structure? What is a Number, That a Large Language Model May Know It?

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-03T13:57:17.401460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T13:57:17.401460Z digest=sha256:b730753f69e414239a9ee0c0e87f8f656891adc030e674038e1897f3c67077a6