Pith. sign in

Paper Citation Record · LEDGER

Lawyer LLaMA Technical Report

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2305.15062.

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

pith.paper-citation-record.v1
2305.15062 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 2026-08-08T06:32:00.761636+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T15:05:14.712414Z

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

39
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 f777ec94-7ea3-44de-be8e-11e44890fd11 · inbound

A Survey on Knowledge Distillation of Large Language Models cites this paper.

A Survey on Knowledge Distillation of Large Language Models Lawyer LLaMA Technical Report

Reference 47

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T23:31:11.539902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-17T23:31:11.213552Z digest=sha256:ecb16e1c27a2f188177013e1125c5c38004c37f58269f3fd5e59eaca9b76f936

Observation 35fe0a2d-edd3-4b18-b547-934211b3a938 · inbound

Preserving Knowledge in Large Language Model with Model-Agnostic Self-Decompression cites this paper.

Preserving Knowledge in Large Language Model with Model-Agnostic Self-Decompression Lawyer LLaMA Technical Report

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-24T00:13:39.554958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-24T00:09:52.093810Z digest=sha256:0cc15c4d865e9c5f8cdcdf66dc5153090dfa5fc89e0f64f9ed43c87fa525400c

Observation bcb7ca45-8ace-41b7-a604-26cec9115d92 · inbound

LicenseGPT: A Fine-tuned Foundation Model for Publicly Available Dataset License Compliance cites this paper.

LicenseGPT: A Fine-tuned Foundation Model for Publicly Available Dataset License Compliance Lawyer LLaMA Technical Report

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-23T06:02:37.791973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T06:00:56.578343Z digest=sha256:bbe35b5e507d0fc968c549f36533e1ee1582cebefe279bfcd917022c2906db77

Observation 716c0263-a24e-445e-9601-250a7b60f6b7 · inbound

LawGPT: Knowledge-Guided Data Generation and Its Application to Legal LLM cites this paper.

LawGPT: Knowledge-Guided Data Generation and Its Application to Legal LLM Lawyer LLaMA Technical Report

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-08T15:05:14.712414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T15:05:14.712414Z digest=sha256:ddc0b7bf119b7c570d8388d2d4ff564eb15d1941b1a1880891efd1b84f7ad95a

Observation 42eaf80a-1203-4f56-bc8f-fc2ddecd40ff · inbound

LLMPR: A Novel LLM-Driven Transfer Learning based Petition Ranking Model cites this paper.

LLMPR: A Novel LLM-Driven Transfer Learning based Petition Ranking Model Lawyer LLaMA Technical Report

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T13:30:23.109811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:30:23.109811Z digest=sha256:72eb8bdcb91a4fae620479c8f784abe4da005d63aa3118f5c339e41a004ce7f2

Observation 79c1b52f-28ef-4ebe-b102-724fe08128d2 · inbound

Merge Hijacking: Backdoor Attacks to Model Merging of Large Language Models cites this paper.

Merge Hijacking: Backdoor Attacks to Model Merging of Large Language Models Lawyer LLaMA Technical Report

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T12:48:14.903159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:48:14.903159Z digest=sha256:1b40f5a119f785f1b72e8892a65bef9a760935995a2f033415c413d35bf11671

Observation fe36b336-7c67-491c-924c-aa5cff7709b0 · inbound

EpiCoDe: Boosting Model Performance Beyond Training with Extrapolation and Contrastive Decoding cites this paper.

EpiCoDe: Boosting Model Performance Beyond Training with Extrapolation and Contrastive Decoding Lawyer LLaMA Technical Report

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T11:12:18.739695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:12:18.739695Z digest=sha256:bd30fa12d22a9181117c8a6f00daa0f210ba4087134efc569fbddcae1519b1ba

Observation 45c80bb5-e1b3-45b8-9f15-f20b1ea6e583 · inbound

A Technical Survey of Reinforcement Learning Techniques for Large Language Models cites this paper.

A Technical Survey of Reinforcement Learning Techniques for Large Language Models Lawyer LLaMA Technical Report

Reference 100

Resolution
unresolved
no resolver link, observed 2026-08-06T19:59:34.979910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:59:34.979910Z digest=sha256:1abdef64258b99cebefd6bfe7bacf48511e2d00b98ed4d96ab2876bb552e4510

Observation 71ee8735-19a0-42e4-98c9-b0dc03c5df94 · inbound

Investigating the Robustness of Retrieval-Augmented Generation at the Query Level cites this paper.

Investigating the Robustness of Retrieval-Augmented Generation at the Query Level Lawyer LLaMA Technical Report

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T18:55:54.735327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:55:54.735327Z digest=sha256:5c67428778e26965aece5ed3aaf3fe41a6b703c620979f1f378053e087bab11c

Observation 5de3e5a5-fae7-43fe-9b88-337fd7323ea3 · inbound

When Large Language Models Meet Law: Dual-Lens Taxonomy, Technical Advances, and Ethical Governance cites this paper.

When Large Language Models Meet Law: Dual-Lens Taxonomy, Technical Advances, and Ethical Governance Lawyer LLaMA Technical Report

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-06T18:37:10.142756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:37:10.142756Z digest=sha256:15df013a4ff036287813e4f8ca516406e4491f1c4cc6af4ee1b4bbc2d782cc8e

Observation afbf757d-1426-44c2-b6e0-87d77d50ddbf · inbound

Survey of Specialized Large Language Model cites this paper.

Survey of Specialized Large Language Model Lawyer LLaMA Technical Report

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-05T15:37:49.236521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:37:49.236521Z digest=sha256:702f428ef88a8fe49275067ec279f49090511cafea3d21416c836cbf7b6af78a

Observation 903ec98f-f35a-4c6e-998c-c9d6093677d3 · inbound

LegalChainReasoner: A Legal Chain-guided Framework for Criminal Judicial Opinion Generation cites this paper.

LegalChainReasoner: A Legal Chain-guided Framework for Criminal Judicial Opinion Generation Lawyer LLaMA Technical Report

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T13:18:22.522237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:18:22.522237Z digest=sha256:d84e6b95621c40dd7ad9764a5b0b6a1f49c7e0a3e0742e55250db9fce322c999

Observation c43fd66b-dfd8-48e8-a6a3-182fcda74818 · inbound

LLMs for LLMs: A Structured Prompting Methodology for Long Legal Documents cites this paper.

LLMs for LLMs: A Structured Prompting Methodology for Long Legal Documents Lawyer LLaMA Technical Report

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-05T11:48:46.938321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:48:46.938321Z digest=sha256:ed9ba05eee41663131c53db0c78b259f2a24d1624ae25528971443e5c99a064a

Observation f1981143-fbf4-4b59-ad5f-d67e4d1986c8 · inbound

Large Language Models Meet Legal Artificial Intelligence: A Survey cites this paper.

Large Language Models Meet Legal Artificial Intelligence: A Survey Lawyer LLaMA Technical Report

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-04T18:26:14.202944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:26:14.202944Z digest=sha256:6098d293e7946870f05d9081bedb906cc21eca7403fad91ffa49d62317360693

Observation d3881bff-9509-4697-8680-347676682385 · inbound

VLegal-Bench: Cognitively Grounded Benchmark for Vietnamese Legal Reasoning of Large Language Models cites this paper.

VLegal-Bench: Cognitively Grounded Benchmark for Vietnamese Legal Reasoning of Large Language Models Lawyer LLaMA Technical Report

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-16T21:38:34.205859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T21:36:24.376401Z digest=sha256:dc599107e10645e95da1ea144df2d54d002e0554c9ab35dff537911b2264e856

Observation 409e4ccd-e82e-41cf-bc7a-dd3c5b01e777 · inbound

MAR: Efficient Large Language Models via Module-aware Architecture Refinement cites this paper.

MAR: Efficient Large Language Models via Module-aware Architecture Refinement Lawyer LLaMA Technical Report

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-16T10:12:43.010647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T10:12:35.951089Z digest=sha256:e100dc7f49f46ea43ade39b123e5bac421d50fd9395cfac6765e0bf6132811f2

Observation 023b48a4-d58d-4937-884f-6c07ef02d109 · inbound

HiMemVLN: Enhancing Reliability of Open-Source Zero-Shot Vision-and-Language Navigation with Hierarchical Memory System cites this paper.

HiMemVLN: Enhancing Reliability of Open-Source Zero-Shot Vision-and-Language Navigation with Hierarchical Memory System Lawyer LLaMA Technical Report

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-02T18:10:14.279629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:10:14.279629Z digest=sha256:32a0b492c3ad6bc199c11e6378e5fa381b0cbc7c2e65a02dc778f1f0212b55ef

Observation a650cb11-ccec-4424-b0fc-2bc3c378daca · inbound

Implicit Humanization in Everyday LLM Moral Judgments cites this paper.

Implicit Humanization in Everyday LLM Moral Judgments Lawyer LLaMA Technical Report

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:33:27.249471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T01:31:58.983932Z digest=sha256:b1c0a62e71ea4e8c41d124567c3a4b3058d764e6eaa213cc2facebef0cfa98e0

Observation 7def2ed7-5ad1-4cba-ae37-a954200dcb51 · inbound

Accurate Legal Reasoning at Scale: Neuro-Symbolic Offloading and Structural Auditability for Robust Legal Adjudication cites this paper.

Accurate Legal Reasoning at Scale: Neuro-Symbolic Offloading and Structural Auditability for Robust Legal Adjudication Lawyer LLaMA Technical Report

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-09T21:53:46.928858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-09T16:14:34.661946Z digest=sha256:8a965da30fb17e881e47db7cb7c7bcb3a81f778715a9f7ebc7a9026ca5d93ef8

Observation b720d976-cdd3-4c77-ab87-a6f5aa319201 · inbound

An Ontology-Guided Multi-Anchor Graph Retrieval Framework for Traffic Legal Liability Determination cites this paper.

An Ontology-Guided Multi-Anchor Graph Retrieval Framework for Traffic Legal Liability Determination Lawyer LLaMA Technical Report

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-03T11:18:03.661601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T09:36:45.509889Z digest=sha256:cfd608759057c8358d2445bda987d2356ecdd6f5e9f73d8a345920cff413122b

Observation c2ab1d6a-0a4a-4aea-969a-b02e42690078 · inbound

LLM Evolution as an Industry-Scale Ecosystem: A Lifecycle Perspective on Continual Learning cites this paper.

LLM Evolution as an Industry-Scale Ecosystem: A Lifecycle Perspective on Continual Learning Lawyer LLaMA Technical Report

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-07-03T16:48:39.923000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T05:02:18.347642Z digest=sha256:1329beb4745f891e34e7ee04a2b7686572d7aa5d18eabee99d763e3eaafa3571