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Paper Citation Record · LEDGER

On Memorization of Large Language Models in Logical Reasoning

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2410.23123.

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

pith.paper-citation-record.v1
2410.23123 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T12:28:04.901907Z

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

2
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 80371bb5-c4ca-46e4-bbf0-e475c9156cdd · inbound

Blending Supervised and Reinforcement Fine-Tuning with Prefix Sampling cites this paper.

Blending Supervised and Reinforcement Fine-Tuning with Prefix Sampling On Memorization of Large Language Models in Logical Reasoning

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-21T23:40:46.183831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-21T23:39:39.018498Z digest=sha256:1d034c1bb1021c315572c111e628d24cfa2ea1d2b3440207068ad21496d23278

Observation 6ecbf777-1b7d-48bb-82ab-18fb2e9387f1 · inbound

Copyright Protection for Large Language Models: A Survey of Methods, Challenges, and Trends cites this paper.

Copyright Protection for Large Language Models: A Survey of Methods, Challenges, and Trends On Memorization of Large Language Models in Logical Reasoning

Reference 154

Resolution
verified exact
arxiv_id, observed 2026-05-18T22:46:53.088164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T22:45:31.935618Z digest=sha256:a8de872d9578198bf4a4761e1337936ef9b1d02d919de042861c0d62d763b2be

Observation 2f0d4916-daa3-44b0-9fb1-a46938fee10c · inbound

Proximal Supervised Fine-Tuning cites this paper.

Proximal Supervised Fine-Tuning On Memorization of Large Language Models in Logical Reasoning

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-18T20:42:50.963306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T20:42:14.423836Z digest=sha256:065fc4c3bd6217d9c1d2092645f9ac189fa2d4305dc587d61a3697afe84f6376

Observation 86a728e8-2a8a-4654-a142-3bf60067f19a · inbound

Learning to Refine: Self-Refinement of Parallel Reasoning in LLMs cites this paper.

Learning to Refine: Self-Refinement of Parallel Reasoning in LLMs On Memorization of Large Language Models in Logical Reasoning

Reference 38

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T21:16:50.958282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-18T21:16:15.703057Z digest=sha256:152f9958f171bd5cab236d377003c840d1c52b40fe2cfe62d21423a2b2af66a3

Observation 68f50198-fd12-4fc4-aab7-755095cc9c30 · inbound

Throttling Web Agents Using Reasoning Gates cites this paper.

Throttling Web Agents Using Reasoning Gates On Memorization of Large Language Models in Logical Reasoning

Reference 100

Resolution
unresolved
no resolver link, observed 2026-08-05T12:28:04.901907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:28:04.901907Z digest=sha256:e8b27b9cd340165ce75e9cbbfc26a88a5696f6d73d69067ab97b31cefa268a8b

Observation 826873e2-d18e-4908-86d7-dabbfa8d94fb · inbound

Structured In-context Environment Scaling for Large Language Model Reasoning cites this paper.

Structured In-context Environment Scaling for Large Language Model Reasoning On Memorization of Large Language Models in Logical Reasoning

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-18T12:26:22.448289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T12:23:15.257737Z digest=sha256:47356e116a1004a1afad589f6d909b00dfe105f01126eba3020d19c08b6b0761

Observation e300f7dd-ab3a-47ad-86de-3bea83be26c2 · inbound

Understanding the Ability of LLMs to Handle Character-Level Perturbation cites this paper.

Understanding the Ability of LLMs to Handle Character-Level Perturbation On Memorization of Large Language Models in Logical Reasoning

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-04T09:39:02.711902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:39:02.711902Z digest=sha256:98517249cdb9385946f1578fac48c3ac518a250c9c36d581888a34304ecac1a1

Observation 978e29cc-951a-4a04-ae3e-1a31a4b8c99b · inbound

ActivationReasoning: Logical Reasoning in Latent Activation Spaces cites this paper.

ActivationReasoning: Logical Reasoning in Latent Activation Spaces On Memorization of Large Language Models in Logical Reasoning

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-18T05:45:56.253320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T05:43:45.863209Z digest=sha256:2a56afeb5f7a95c4de0459ca4b3558ff3bc95b342cac569c02660a432b6db1e8

Observation b2cfbee7-703a-4d7b-8ae5-f9932440e2bf · inbound

Sharpness-Guided Group Relative Policy Optimization via Probability Shaping cites this paper.

Sharpness-Guided Group Relative Policy Optimization via Probability Shaping On Memorization of Large Language Models in Logical Reasoning

Reference 36

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T03:12:22.384195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T03:10:57.839146Z digest=sha256:d45402585008a6842b8d7eba40e1500e92a7fbcbca5bcd5a6960be8e5c9647fb

Observation e2b3afbe-65f8-42f1-941a-0635d7f30ff1 · inbound

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments cites this paper.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments On Memorization of Large Language Models in Logical Reasoning

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-03T23:08:09.608509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T23:08:09.608509Z digest=sha256:53ae27844072361c67a48da3b0d119486ae14803da1729d9ddbd5e69db579fe1

Observation 4558a426-b962-486f-b5e6-d3633d0938b4 · inbound

Effects of Cross-lingual Evidence in Multilingual Medical Question Answering cites this paper.

Effects of Cross-lingual Evidence in Multilingual Medical Question Answering On Memorization of Large Language Models in Logical Reasoning

Reference 40

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T13:51:04.598671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-09T23:56:42.453216Z digest=sha256:7f13405d1d7e4ef317eaa3645ba318e0b271f4ea6dbc2cdfafccfa6520b7640f

Observation 06396d8a-df58-4307-afca-93fc6e979c8c · inbound

Unsteady Metrics and Benchmarking Cultures of AI Model Builders cites this paper.

Unsteady Metrics and Benchmarking Cultures of AI Model Builders On Memorization of Large Language Models in Logical Reasoning

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-05-15T04:55:03.306773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T04:54:26.888562Z digest=sha256:03a49b210a0815be60cc70ac0a4c08296709cbbd3e9938dddaaa70e91be004f7

Observation ef3bd5f2-83b4-47bb-9831-22f4c37cfd19 · inbound

Entropy-KL Divergence-based Token Masking: A Novel Approach for Selective Fine-tuning of Large Language Models cites this paper.

Entropy-KL Divergence-based Token Masking: A Novel Approach for Selective Fine-tuning of Large Language Models On Memorization of Large Language Models in Logical Reasoning

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-06-29T08:03:13.507007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-29T08:01:39.412431Z digest=sha256:91f8b57463d745247a199c5c878d09cd996a4c32308ab3e4f6dfccba823d8388

Observation 205eac9a-7f3f-473f-9b7e-ba3b271e323d · inbound

On the Generalization Gap in Self-Evolving Language Model Reasoning cites this paper.

On the Generalization Gap in Self-Evolving Language Model Reasoning On Memorization of Large Language Models in Logical Reasoning

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-06-28T17:22:24.888547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T17:18:37.671369Z digest=sha256:31362e8784ad4254f04c5e90680b71a1262eab2cc66827947227ae06075ef41a

Observation 6abd965e-3715-46e6-b5b7-3a12478a4cc7 · inbound

A Close Look At World Model Recovery In Supervised Fine-Tuned LLM Planners cites this paper.

A Close Look At World Model Recovery In Supervised Fine-Tuned LLM Planners On Memorization of Large Language Models in Logical Reasoning

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-07-02T01:46:26.441956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T11:36:14.896698Z digest=sha256:7323da09213fa12105cea4adcb1def7f1bfcc9fdb4bcbd7b1fe256193d83ab05

Observation a6e792da-d85f-4ec4-a1e1-f9b8abf76e23 · inbound

Enough is as good as a feast: A Comprehensive Analysis of How Reinforcement Learning Mitigates Task Conflicts in LLMs cites this paper.

Enough is as good as a feast: A Comprehensive Analysis of How Reinforcement Learning Mitigates Task Conflicts in LLMs On Memorization of Large Language Models in Logical Reasoning

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-01T06:05:55.977186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:05:55.977186Z digest=sha256:82a96e1c733e799eb21821b9e6461e598ed85afbf179f0f0d0458468141f6baa