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Paper Citation Record · LEDGER

Entropy Law: The Story Behind Data Compression and LLM Performance

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2407.06645.

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

pith.paper-citation-record.v1
2407.06645 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 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 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T10:11:41.688277Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T22:39:01.071706Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5ef9c7ed-8ca9-40c3-8168-9099d6035662 · inbound

FuXi-$\alpha$: Scaling Recommendation Model with Feature Interaction Enhanced Transformer cites this paper.

FuXi-$\alpha$: Scaling Recommendation Model with Feature Interaction Enhanced Transformer Entropy Law: The Story Behind Data Compression and LLM Performance

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-09T10:11:41.688277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T10:11:41.688277Z digest=sha256:34f209f45cb61d906ba7ef86d27cbc27a5cf6887db46b411196409e3bed63ac0

Observation bb9b1498-ced3-4ae5-a797-566bbff96fb2 · inbound

The Paradox of Stochasticity: Limited Creativity and Computational Decoupling in Temperature-Varied LLM Outputs of Structured Fictional Data cites this paper.

The Paradox of Stochasticity: Limited Creativity and Computational Decoupling in Temperature-Varied LLM Outputs of Structured Fictional Data Entropy Law: The Story Behind Data Compression and LLM Performance

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-08T04:52:23.191844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:52:23.191844Z digest=sha256:c677429515e9bd693d3574a2c8fabdddb26845e4213127a8ce4185ab15215231

Observation 8defcfb4-2cf9-4a53-848b-f893356c8d5e · inbound

DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR Prediction cites this paper.

DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR Prediction Entropy Law: The Story Behind Data Compression and LLM Performance

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-07T14:22:59.296408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:22:59.296408Z digest=sha256:1d8c66b59b493fba0efc58571382cae9e27353924c8b9b2870605190076644a5

Observation 7d93ee82-3d6f-4c76-bed3-44042e87cd8b · inbound

Pangu Pro MoE: Mixture of Grouped Experts for Efficient Sparsity cites this paper.

Pangu Pro MoE: Mixture of Grouped Experts for Efficient Sparsity Entropy Law: The Story Behind Data Compression and LLM Performance

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T13:35:55.872646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:35:55.872646Z digest=sha256:9146742b98df0a24dcd6b1406c3b1defd88b6e617040055188ea74057638908b

Observation 97c7d9cb-f20b-498e-8f2f-5f71e32f58b7 · inbound

Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition cites this paper.

Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition Entropy Law: The Story Behind Data Compression and LLM Performance

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T13:16:17.670989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:16:17.670989Z digest=sha256:bc390b7131607b86662dabdadbd5ff29fee14fc03e4f58189bab0edf1ca5b6b2

Observation 121c3803-004c-4d6c-be68-3dadd308ed50 · inbound

Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges cites this paper.

Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges Entropy Law: The Story Behind Data Compression and LLM Performance

Reference 254

Resolution
unresolved
no resolver link, observed 2026-08-06T14:13:07.209606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:13:07.209606Z digest=sha256:1109c3b3791b2c24d6e768fc4e161050af5eabcab39928f3c4707363fe79024c

Observation 1010614e-c0ca-444f-a828-8496b0d67339 · inbound

Difficulty-Based Preference Data Selection by DPO Implicit Reward Gap cites this paper.

Difficulty-Based Preference Data Selection by DPO Implicit Reward Gap Entropy Law: The Story Behind Data Compression and LLM Performance

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-21T23:50:47.554478Z

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=2026-05-21T23:46:24.208438Z digest=sha256:b8952fac1cb5c5a3b57bec55ecce59f6a5814e46fe0631e0c37101b658d2ec08

Observation 63ec1a7f-7946-49aa-bd09-a7f904262523 · inbound

SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment cites this paper.

SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment Entropy Law: The Story Behind Data Compression and LLM Performance

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-05T10:34:46.835958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:34:46.835958Z digest=sha256:b0dac357702baaa36a5937207c3d30941b315f9b8c5c2178edb1aac2fb1381bb

Observation 91559d19-1e9f-49ec-a1c2-e5af55e272f3 · inbound

Transformers Can Learn Connectivity in Some Graphs but Not Others cites this paper.

Transformers Can Learn Connectivity in Some Graphs but Not Others Entropy Law: The Story Behind Data Compression and LLM Performance

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-18T12:51:23.599367Z

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=arxiv_source observed=2026-05-18T12:47:47.917648Z digest=sha256:5a2f487de0670d5711e87968ed9d21eefeb1d40bbbe52688d13fd89f1dabd26c

Observation b847baa7-9184-4ed4-87d6-187ef8c4e2fd · inbound

Foundation Models for Discovery and Exploration in Chemical Space cites this paper.

Foundation Models for Discovery and Exploration in Chemical Space Entropy Law: The Story Behind Data Compression and LLM Performance

Reference 285

Resolution
verified exact
arxiv_id, observed 2026-05-18T05:52:24.905580Z

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=2026-05-18T05:52:10.848118Z digest=sha256:79ea73f8c7b4b0f41becdb8ba5b6400cd3523be486069dfe8b4fd19ec9d2373f

Observation d2cebe7c-a0c4-4507-b0ba-47dd95a9abe6 · inbound

YouZhi: Towards High-Concurrency Financial LLMs via Adaptive GQA-to-MLA Transition cites this paper.

YouZhi: Towards High-Concurrency Financial LLMs via Adaptive GQA-to-MLA Transition Entropy Law: The Story Behind Data Compression and LLM Performance

Reference 61

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T13:06:59.434203Z

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=arxiv_source observed=2026-06-28T01:33:54.383507Z digest=sha256:9c7d123b827e78ae02340d20aa7b20904310fae1ae5f18f507c14855cbdf2e3c

Observation 054158c7-3be9-47b1-8471-75c7891d0ff0 · inbound

Search for Truth from Reasoning: A Dynamic Representation Editing Framework for Steering LLM Trajectories cites this paper.

Search for Truth from Reasoning: A Dynamic Representation Editing Framework for Steering LLM Trajectories Entropy Law: The Story Behind Data Compression and LLM Performance

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T16:35:50.287960Z

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=arxiv_source observed=2026-06-30T00:36:14.316735Z digest=sha256:b2e6d7dab9ecaf02c9f65c41708f3941f883a1c476e82edb25474f9aa0e4fc22

Observation cadd2b89-9446-4555-9a54-2958d9c4aa57 · inbound

Search for Truth from Reasoning: A Dynamic Representation Editing Framework for Steering LLM Trajectories cites this paper.

Search for Truth from Reasoning: A Dynamic Representation Editing Framework for Steering LLM Trajectories Entropy Law: The Story Behind Data Compression and LLM Performance

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T22:39:01.074028Z

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=arxiv_source observed=2026-07-03T22:36:12.063779Z digest=sha256:a0f3ac9ae7a48652343f540becf06d1f9287a19777817c0c03e437bfd70dc45c