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Paper Citation Record · LEDGER

Large Language Models in Law: A Survey

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2312.03718.

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

pith.paper-citation-record.v1
2312.03718 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:15:25.351688Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T11:09:45.955239Z

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 73bf9c47-3512-4cb6-9e9e-453d69797c7f · inbound

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

A Survey on Knowledge Distillation of Large Language Models Large Language Models in Law: A Survey

Reference 175

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:31:11.571412Z

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=2026-05-17T23:31:11.213552Z digest=sha256:e46930a190f728876ad4c49eadce8552ac00eb625a1b6fab5043f8ca99603b89

Observation 00e533cd-fa6f-494c-b362-d38131ec7fb7 · inbound

Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey cites this paper.

Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey Large Language Models in Law: A Survey

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-08T19:15:25.351688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:15:25.351688Z digest=sha256:35bdac36651de9b832b838c627ab5c00726175f9080c212757910dba01d77c50

Observation 5828cb78-9767-4de0-8c0d-3e3500a323a1 · inbound

Tools in the Loop: Quantifying Uncertainty of LLM Question Answering Systems That Use Tools cites this paper.

Tools in the Loop: Quantifying Uncertainty of LLM Question Answering Systems That Use Tools Large Language Models in Law: A Survey

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:46.036999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:46.036999Z digest=sha256:0f7373e06571aec3687b48a4c7161de5538544b0de9da4cff94cfa017d05edc6

Observation 2108f01d-c781-4298-a1ac-d1f4711ff02f · inbound

Abstract Counterfactuals for Language Model Agents cites this paper.

Abstract Counterfactuals for Language Model Agents Large Language Models in Law: A Survey

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T11:25:02.800266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:25:02.800266Z digest=sha256:9e4cc5847b11e013f8474067666910c2e3aa484b4d8e28ebe384e93bf2dcb263

Observation 75478683-65bf-454f-afd5-c96976220c94 · inbound

Modeling the Diachronic Evolution of Legal Norms: An LRMoo-Based, Component-Level, Event-Centric Approach to Legal Knowledge Graphs cites this paper.

Modeling the Diachronic Evolution of Legal Norms: An LRMoo-Based, Component-Level, Event-Centric Approach to Legal Knowledge Graphs Large Language Models in Law: A Survey

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T05:28:45.198200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:28:45.198200Z digest=sha256:f9578f55c57235179ff13a8647f0856a5972d46a9a3bcf4bc222d36d314a1345

Observation c70cafe0-052d-48fc-bc37-463c06d2f662 · inbound

The Incomplete Bridge: How AI Research (Mis)Engages with Psychology cites this paper.

The Incomplete Bridge: How AI Research (Mis)Engages with Psychology Large Language Models in Law: A Survey

Reference 165

Resolution
unresolved
no resolver link, observed 2026-08-06T11:19:16.203890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:19:16.203890Z digest=sha256:a8f92424ccab1f783608223de37b85599af06c1a91bf969859a477aa39aa2e70

Observation 6f9ea028-1553-4816-9cc8-6d7f0bf68c06 · 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 Large Language Models in Law: A Survey

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-05T11:48:47.548791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:48:47.548791Z digest=sha256:335a6f4a1ff575f16f8aa06a5b4028a665284080695bdc21a5d6fa27a292a3b9

Observation a538a807-5d9e-4b90-8bdc-2afe40ff4b34 · inbound

Large language models replicate and predict human cooperation across experiments in game theory cites this paper.

Large language models replicate and predict human cooperation across experiments in game theory Large Language Models in Law: A Survey

Reference 4

Resolution
malformed identifier
no resolver link, observed 2026-08-03T23:43:35.695039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:43:35.695039Z digest=sha256:aa043557080ab0ec28d2bdbfd1c8cbea07a93e7693c9e3794a4b9e89e3d23eaa

Observation c7defc60-fa6c-445a-9209-e57cc607b95b · inbound

Civil Court Simulation with Large Language Models cites this paper.

Civil Court Simulation with Large Language Models Large Language Models in Law: A Survey

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-03T01:17:30.434937Z

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=2026-06-27T16:45:19.868954Z digest=sha256:de5c17da9fa63fa9b4f702ce8207d2824f4b405fba4de1ce5294c889c8808ec0

Observation a8ecd664-42f8-4457-8e26-c694801f5042 · inbound

Measuring & Mitigating Over-Alignment for LLMs in Multilingual Criminal Law Courts cites this paper.

Measuring & Mitigating Over-Alignment for LLMs in Multilingual Criminal Law Courts Large Language Models in Law: A Survey

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-07-04T11:09:45.956896Z

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=2026-06-26T08:11:05.025877Z digest=sha256:8a97fe0fa56430bee75b9582ef04418c719e374bdb4705fe3cf3da7661d177e9

Observation 39f06e32-9cd3-4b33-a0f7-482c3efb8795 · inbound

Measuring & Mitigating Over-Alignment for LLMs in Multilingual Criminal Law Courts cites this paper.

Measuring & Mitigating Over-Alignment for LLMs in Multilingual Criminal Law Courts Large Language Models in Law: A Survey

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-07-01T06:45:29.399173Z

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=2026-07-01T06:43:13.356488Z digest=sha256:9933dff23d268bd8c8407e98fa90f344c1dc3729a1bec86cbc56ac7e4027f6b3