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Paper Citation Record · LEDGER

Legal Prompting: Teaching a Language Model to Think Like a Lawyer

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2212.01326.

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

pith.paper-citation-record.v1
2212.01326 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:25:47.336625Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T18:13:49.343198Z

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 9c68cf37-c6d6-44f7-879e-685849c4004b · inbound

Agent AI: Surveying the Horizons of Multimodal Interaction cites this paper.

Agent AI: Surveying the Horizons of Multimodal Interaction Legal Prompting: Teaching a Language Model to Think Like a Lawyer

Reference 235

Resolution
verified exact
arxiv_id, observed 2026-05-18T14:25:59.728153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-18T14:25:58.876978Z digest=sha256:3e3bd39db6ea355f87237cc11352597a918b1ce61787eeac1677450b157aa126

Observation bf8a7398-bdb0-46c8-a0e5-7952d0344f46 · inbound

Beyond Guilt: Legal Judgment Prediction with Trichotomous Reasoning cites this paper.

Beyond Guilt: Legal Judgment Prediction with Trichotomous Reasoning Legal Prompting: Teaching a Language Model to Think Like a Lawyer

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-11T12:10:00.653626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:10:00.653626Z digest=sha256:059b20e16892c54d6d0e51fb5c2dfb365c3e75cd742a84018e04a7a041a22952

Observation 81c5179e-f06b-409c-a8ec-8e3f3fe99b35 · inbound

Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justice cites this paper.

Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justice Legal Prompting: Teaching a Language Model to Think Like a Lawyer

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-11T14:34:14.194914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:34:14.194914Z digest=sha256:3294a5a580f5970f9fc454c1b6acc708702957ef6b41f79064b6d24cd37541c2

Observation 5922e708-355f-45dc-ab92-2e878296a0dc · inbound

A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement cites this paper.

A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement Legal Prompting: Teaching a Language Model to Think Like a Lawyer

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T23:23:28.263305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:23:28.263305Z digest=sha256:6d539e56d73f26560a7048b002030eb26000d80eedd9adcc861385fe3fd2258f

Observation 13bfb916-60c4-49c8-889e-e5d65b5cd26f · inbound

Aligning Language Models for Icelandic Legal Text Summarization cites this paper.

Aligning Language Models for Icelandic Legal Text Summarization Legal Prompting: Teaching a Language Model to Think Like a Lawyer

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-16T10:25:47.336625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:25:47.336625Z digest=sha256:8f2fe661efab954fe3e70e4b0dcbf539d8f164f4a587d1cfee6cd120abfd8011

Observation dd258837-e2e0-4ee0-82cb-0dc57bff52d3 · inbound

Prompt Engineering Guidelines for Using Large Language Models in Requirements Engineering cites this paper.

Prompt Engineering Guidelines for Using Large Language Models in Requirements Engineering Legal Prompting: Teaching a Language Model to Think Like a Lawyer

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T20:14:49.296190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:14:49.296190Z digest=sha256:f4121fadc6d011eb88ebbf406aaf016ad0616f34ad01309caf53a737fb940a70

Observation 0528b318-de0b-40af-ac69-a5464667b8cf · 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 Legal Prompting: Teaching a Language Model to Think Like a Lawyer

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-05T11:48:51.591055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:48:51.591055Z digest=sha256:48015bf6569b4705dea861e2d255a640d56d921f895397c04d7473439feffa95

Observation e2df6e5a-0294-4d8a-9ee9-7e44dcec1870 · inbound

LexPath: A domain-oriented multi-path framework for legal article retrieval cites this paper.

LexPath: A domain-oriented multi-path framework for legal article retrieval Legal Prompting: Teaching a Language Model to Think Like a Lawyer

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T18:13:49.344689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-29T05:13:07.747936Z digest=sha256:636de6c98c54f9357e3cf48793f3f3b97f969edc6f16463d9adf5a8dfe0a37d9

Observation 53e5d946-1647-47d7-acd7-7d1567411c0e · inbound

From Judgments to Issues: Structured Extraction of Legal Reasoning with Citation-Hallucination Control cites this paper.

From Judgments to Issues: Structured Extraction of Legal Reasoning with Citation-Hallucination Control Legal Prompting: Teaching a Language Model to Think Like a Lawyer

Reference 20

Resolution
unresolved
no resolver link, observed 2026-07-12T03:16:08.937731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T03:16:08.937731Z digest=sha256:79c35be7bdc198bcf7b07b6f4f21b6786e9265e4374edf9c663b2042d8638bc5

Observation 8af553b3-75df-42b7-a04a-19641c4b0320 · inbound

PROSLEX: A Novel Dataset for Expert-Annotated Legal Statute Prediction for Indian Judiciary cites this paper.

PROSLEX: A Novel Dataset for Expert-Annotated Legal Statute Prediction for Indian Judiciary Legal Prompting: Teaching a Language Model to Think Like a Lawyer

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-14T04:27:25.239277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:27:25.239277Z digest=sha256:ff8590592775a590b9a25e1baaf9e1a6689acb0e2d76b439200999968ca61a79