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Paper Citation Record · LEDGER

PL-CA: A Parametric Legal Case Augmentation Framework

As of 16 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2509.06356.

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

pith.paper-citation-record.v1
2509.06356 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:21:48.459902Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

37 of 37 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved35
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation baf7dba7-09ac-4860-ab37-1e1be5e16522 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

PL-CA: A Parametric Legal Case Augmentation Framework , " * write output.state after.block = add.period write newline

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:21:48.309873Z digest=sha256:170d446bd67eea743d12079320688251a7cea529d2f3f9282fd48e424931d195

Observation 6a3438ce-7544-4836-9fa1-44c701cbc2cb · outbound

This paper cites write newline.

PL-CA: A Parametric Legal Case Augmentation Framework write newline

Reference 2

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source=arxiv_source observed=2026-08-15T16:21:48.314777Z digest=sha256:ea20eb66bd76745b976d7417ec77c02380ca899992842e57ee82fbd0c4e7bd92

Observation fe484770-7bbd-4d58-b25b-18db0cc2fadd · outbound

This paper cites Bridging Legal Knowledge and AI: Retrieval-Augmented Generation with Vector Stores, Knowledge Graphs, and Hierarchical Non-negative Matrix Factorization.

PL-CA: A Parametric Legal Case Augmentation Framework Bridging Legal Knowledge and AI: Retrieval-Augmented Generation with Vector Stores, Knowledge Graphs, and Hierarchical Non-negative Matrix Factorization

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:21:48.319674Z digest=sha256:2f7d4feca1739eaeffa1e45ad169dd77e8aa5f5b0fea1769353cee76e706a277

Observation 1a852f33-1958-480f-b28e-fc4576c259b6 · outbound

This paper cites LeXFiles and LegalLAMA: Facilitating English Multinational Legal Language Model Development.

PL-CA: A Parametric Legal Case Augmentation Framework LeXFiles and LegalLAMA: Facilitating English Multinational Legal Language Model Development

Reference 4

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source=arxiv_source observed=2026-08-15T16:21:48.324082Z digest=sha256:f3d60470990c5dc42043e02e4f48e2d2bc901739756c3c219aba95536a4bad6f

Observation 2115205f-0a52-4640-960a-c6573662fe02 · outbound

This paper cites ASP2LJ : An Adversarial Self-Play Laywer Augmented Legal Judgment Framework.

PL-CA: A Parametric Legal Case Augmentation Framework ASP2LJ : An Adversarial Self-Play Laywer Augmented Legal Judgment Framework

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:21:48.328938Z digest=sha256:119486e4477b2acfb797ec60c5d1a26f86c46c3111cbca9b2d77b2e31b3a8fec

Observation 969ff3dd-d1d9-4701-94d1-253fda1098f8 · outbound

This paper cites AgentCourt: Simulating Court with Adversarial Evolvable Lawyer Agents.

PL-CA: A Parametric Legal Case Augmentation Framework AgentCourt: Simulating Court with Adversarial Evolvable Lawyer Agents

Reference 6

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-15T16:21:48.333167Z digest=sha256:e6d69a7b1b9544dbcae8b7b30b45641342affb71cbe28bbca1f511b6146ae2f4

Observation be1b3e21-171e-43ec-b257-58cac5dfb44a · outbound

This paper cites an unresolved cited work.

PL-CA: A Parametric Legal Case Augmentation Framework Unresolved cited work

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:21:48.337809Z digest=sha256:ccfdda361dbc202d75c84a39a8d0d44193bd239225febca57a6dcdf1f2721452

Observation 37dcf387-ccae-4715-a2ab-8fc68c3c6885 · outbound

This paper cites Chatlaw: A Multi-Agent Legal Assistant based on a Role-Aligned Mixture-of-Experts Architecture.

PL-CA: A Parametric Legal Case Augmentation Framework Chatlaw: A Multi-Agent Legal Assistant based on a Role-Aligned Mixture-of-Experts Architecture

Reference 8

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source=arxiv_source observed=2026-08-15T16:21:48.341956Z digest=sha256:993aca6aa37b281497862d89b83a64ff50a13499a006776af5603176e856dd7e

Observation 11f71f53-f62c-4bff-bd79-c4fba212d4e6 · outbound

This paper cites Pre-Training with Whole Word Masking for Chinese BERT.

PL-CA: A Parametric Legal Case Augmentation Framework Pre-Training with Whole Word Masking for Chinese BERT

Reference 9

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source=arxiv_source observed=2026-08-15T16:21:48.346346Z digest=sha256:e55f69f860e8a3e9a6508924262e99f0edecd0b9939b81b6963cadf8af726d06

Observation d4e3ff21-7703-4766-a04c-f8a215a3e924 · outbound

This paper cites Legal Rule Induction: Towards Generalizable Principle Discovery from Analogous Judicial Precedents.

PL-CA: A Parametric Legal Case Augmentation Framework Legal Rule Induction: Towards Generalizable Principle Discovery from Analogous Judicial Precedents

Reference 10

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:21:48.350217Z digest=sha256:270c9c514c1aed7c010004d2739dc8218b29ad5c0f3115debbac29eb3c11ae99

Observation b572f200-4848-4507-afc6-04a954957b92 · outbound

This paper cites LawBench: Benchmarking Legal Knowledge of Large Language Models.

PL-CA: A Parametric Legal Case Augmentation Framework LawBench: Benchmarking Legal Knowledge of Large Language Models

Reference 11

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source=arxiv_source observed=2026-08-15T16:21:48.354492Z digest=sha256:11d726e0814c8a4512beb676cd62bfb41fd95ad4b8eda925b6d3e15198844f96

Observation 078c2856-e59b-456b-829b-8465a3c1d4f8 · outbound

This paper cites Enhancing Legal Case Retrieval via Scaling High-quality Synthetic Query-Candidate Pairs.

PL-CA: A Parametric Legal Case Augmentation Framework Enhancing Legal Case Retrieval via Scaling High-quality Synthetic Query-Candidate Pairs

Reference 12

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source=arxiv_source observed=2026-08-15T16:21:48.358613Z digest=sha256:ae70319e798aa684392f62bd7892bb5d0244bf73b5528b40615cf2aba439eccb

Observation b9d3fc66-29ed-4eb3-8206-3f6c19a1d1c5 · outbound

This paper cites AgentsCourt: Building Judicial Decision-Making Agents with Court Debate Simulation and Legal Knowledge Augmentation.

PL-CA: A Parametric Legal Case Augmentation Framework AgentsCourt: Building Judicial Decision-Making Agents with Court Debate Simulation and Legal Knowledge Augmentation

Reference 13

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source=arxiv_source observed=2026-08-15T16:21:48.362908Z digest=sha256:3497b1ef8edaa40d1053ab4f1e57a920257bb0dfae8bc05d3c1b8df28af0f1a6

Observation ae92c752-a484-4c99-99a8-d21b79ead94d · outbound

This paper cites an unresolved cited work.

PL-CA: A Parametric Legal Case Augmentation Framework Unresolved cited work

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:21:48.367132Z digest=sha256:8b5d033d4749d9b88a45fcd3c9740ac522bb557768ef816efd130e12afb11f92

Observation 25b22f0c-c313-4937-87ed-10381bca2b9d · outbound

This paper cites SAILER: Structure-aware Pre-trained Language Model for Legal Case Retrieval.

PL-CA: A Parametric Legal Case Augmentation Framework SAILER: Structure-aware Pre-trained Language Model for Legal Case Retrieval

Reference 15

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source=arxiv_source observed=2026-08-15T16:21:48.370936Z digest=sha256:5e7b76417b3fbaa9e4935b78b2d83d6a6195477142749dba96d979009a7a42a3

Observation 485a9221-b552-4b4e-a610-d5348c2edf39 · outbound

This paper cites an unresolved cited work.

PL-CA: A Parametric Legal Case Augmentation Framework Unresolved cited work

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:21:48.374923Z digest=sha256:e51b5ee05a5c12469114ff99675c1d6ad6a92cf0ef3a4a74e1fb6fa2a448596c

Observation 37a10d60-5660-4ee1-873a-62be400ac60c · outbound

This paper cites DELTA: Pre-train a Discriminative Encoder for Legal Case Retrieval via Structural Word Alignment.

PL-CA: A Parametric Legal Case Augmentation Framework DELTA: Pre-train a Discriminative Encoder for Legal Case Retrieval via Structural Word Alignment

Reference 17

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source=arxiv_source observed=2026-08-15T16:21:48.379556Z digest=sha256:38bc2c1142795c3fa0a767cd094b60cfa34844deb875ebfd832dc6a8d62a9bcc

Observation cdcd8caa-56e6-4428-8bca-70b76c726161 · outbound

This paper cites LegalAgentBench: Evaluating LLM Agents in Legal Domain.

PL-CA: A Parametric Legal Case Augmentation Framework LegalAgentBench: Evaluating LLM Agents in Legal Domain

Reference 18

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source=arxiv_source observed=2026-08-15T16:21:48.383856Z digest=sha256:c7a3c07ed53f5d6fbaf36d619756c7c9c91237d413ba29dce4f23ca865212a72

Observation 71cac9da-3ac8-46a5-9080-6bbc5114c8ff · outbound

This paper cites LexEval: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language Models.

PL-CA: A Parametric Legal Case Augmentation Framework LexEval: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language Models

Reference 19

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source=arxiv_source observed=2026-08-15T16:21:48.388027Z digest=sha256:47f8eaf49bbd2066b8582da26565a93d10b87e34a0148535e295d2f4aa169304

Observation e77b543e-a464-4bee-a8bb-a100a1dab3eb · outbound

This paper cites LeCaRDv2: A Large-Scale Chinese Legal Case Retrieval Dataset.

PL-CA: A Parametric Legal Case Augmentation Framework LeCaRDv2: A Large-Scale Chinese Legal Case Retrieval Dataset

Reference 20

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source=arxiv_source observed=2026-08-15T16:21:48.392116Z digest=sha256:9abd2dbb1b94f448199cc00665f52cabb8f97f042e414f71f79a0b367563ff98

Observation c017c378-3b6e-401a-a86b-e44ce58a4976 · outbound

This paper cites CaseGen: A Benchmark for Multi-Stage Legal Case Documents Generation.

PL-CA: A Parametric Legal Case Augmentation Framework CaseGen: A Benchmark for Multi-Stage Legal Case Documents Generation

Reference 21

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:21:48.396343Z digest=sha256:d1bf7d503403beb07a0090bf1d7c9abd0ffe2ad1d9addb0ff6087cfecad37811

Observation fb97de4e-2dad-438f-888a-c25c15fa76f7 · outbound

This paper cites Enhancing LLM Factual Accuracy with RAG to Counter Hallucinations: A Case Study on Domain-Specific Queries in Private Knowledge-Bases.

PL-CA: A Parametric Legal Case Augmentation Framework Enhancing LLM Factual Accuracy with RAG to Counter Hallucinations: A Case Study on Domain-Specific Queries in Private Knowledge-Bases

Reference 22

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:21:48.400227Z digest=sha256:4104a9a3cc3c80b4940c31eec36922a03e44691d7e4fb15efbb4acb9cb1661d3

Observation b8e0d743-4016-4834-a08f-dedfc7bedea7 · outbound

This paper cites Long-context LLMs Struggle with Long In-context Learning.

PL-CA: A Parametric Legal Case Augmentation Framework Long-context LLMs Struggle with Long In-context Learning

Reference 23

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:21:48.404774Z digest=sha256:432ac7aa6a565cfb98d75748fdc8b975d5783ada760236230be0e85f28434465

Observation ab1af202-5c8d-4c45-ba3f-2b820f6a8072 · outbound

This paper cites An Evaluation Framework for Legal Document Summarization.

PL-CA: A Parametric Legal Case Augmentation Framework An Evaluation Framework for Legal Document Summarization

Reference 24

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local_arxiv, observed 2026-08-15T16:21:48.633635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:21:48.408885Z digest=sha256:570c4a715655086a09bc8f00ae30cade270e5ee96a9061e9af838bc3e69c993b

Observation 18b6473c-5b0a-4f9a-b459-b78f209ec6e8 · outbound

This paper cites LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain.

PL-CA: A Parametric Legal Case Augmentation Framework LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain

Reference 25

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source=arxiv_source observed=2026-08-15T16:21:48.412802Z digest=sha256:1c543499b8058989cf2206332e426485ca3a7c280b15241e3319594516e70d88

Observation 4b3f7b1a-aa73-4181-b7b0-686ffaa6585f · outbound

This paper cites Are Long-LLMs A Necessity For Long-Context Tasks?.

PL-CA: A Parametric Legal Case Augmentation Framework Are Long-LLMs A Necessity For Long-Context Tasks?

Reference 26

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:21:48.416516Z digest=sha256:ca95f7febf4118a3d3bb2eb24d5e952c594db230458541b437fcb43a8562e1a3

Observation 40b215b3-d57c-40f4-b6cc-f437d25e0270 · outbound

This paper cites an unresolved cited work.

PL-CA: A Parametric Legal Case Augmentation Framework Unresolved cited work

Reference 27

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:21:48.420480Z digest=sha256:4edb7bdd885d9ceacf86657dabd9a22fa39e3a9d56541eac0623af8ac9361819

Observation 12d20d19-81a8-44f0-b2b4-6dd58a42e400 · outbound

This paper cites an unresolved cited work.

PL-CA: A Parametric Legal Case Augmentation Framework Unresolved cited work

Reference 28

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raw_fallback, observed 2026-08-15T16:21:48.835391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:21:48.424235Z digest=sha256:9fb0af2c4e5de3f2a606a9f79406e7b5ebd6601165df90418c6f449f59c19e22

Observation 0c996591-ab11-4804-a4df-1e601e02e101 · outbound

This paper cites Parametric Retrieval Augmented Generation.

PL-CA: A Parametric Legal Case Augmentation Framework Parametric Retrieval Augmented Generation

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:21:48.427869Z digest=sha256:36f1087c6a76eb75d59196410cf79c1f1acca33e74a9a37a97518ce2bcd48dcf

Observation 510f9b9e-5f45-4b0e-8a38-b1574a32ff2e · outbound

This paper cites JuDGE: Benchmarking Judgment Document Generation for Chinese Legal System.

PL-CA: A Parametric Legal Case Augmentation Framework JuDGE: Benchmarking Judgment Document Generation for Chinese Legal System

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:21:48.431911Z digest=sha256:5928483fc20f0a65978b9d5362b18a7e726e99968970a99d46850a4dd522b934

Observation 66d0f505-01b4-4c58-b36c-df6553a4ea94 · outbound

This paper cites LawLuo: A Multi-Agent Collaborative Framework for Multi-Round Chinese Legal Consultation.

PL-CA: A Parametric Legal Case Augmentation Framework LawLuo: A Multi-Agent Collaborative Framework for Multi-Round Chinese Legal Consultation

Reference 31

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source=arxiv_source observed=2026-08-15T16:21:48.436059Z digest=sha256:8311dfcb5ef9f7030ce6b397ca1b2d69169b342a822c3424c95d94d8426503d4

Observation ace0e11e-c53a-4d4f-8c29-c7acc1b9208f · outbound

This paper cites Precedent-Enhanced Legal Judgment Prediction with LLM and Domain-Model Collaboration.

PL-CA: A Parametric Legal Case Augmentation Framework Precedent-Enhanced Legal Judgment Prediction with LLM and Domain-Model Collaboration

Reference 32

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-15T16:21:48.439869Z digest=sha256:042e642ec37b55a69c10bf338595ab800ba322bf7b70e2f126cc0cd72ab3f88c

Observation f7babc19-75f5-4a16-bcdc-882eae7ab5af · outbound

This paper cites Lawformer: A Pre-trained Language Model for Chinese Legal Long Documents.

PL-CA: A Parametric Legal Case Augmentation Framework Lawformer: A Pre-trained Language Model for Chinese Legal Long Documents

Reference 33

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verified exact
local_arxiv, observed 2026-08-15T16:21:48.541443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:21:48.443998Z digest=sha256:8d6429400ae2998c52245b84dd8c66fad8dc7fdf1af271101732122de110230a

Observation db704f0f-e345-423f-98d5-4350d3668a4d · outbound

This paper cites CAIL2018: A Large-Scale Legal Dataset for Judgment Prediction.

PL-CA: A Parametric Legal Case Augmentation Framework CAIL2018: A Large-Scale Legal Dataset for Judgment Prediction

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:21:48.447794Z digest=sha256:cca5665102fd9ece37b0e0abec0b43a11479ce3d57b5a848502425bbb68e8387

Observation 31c39019-4f82-4f16-9ae5-2352141464ec · outbound

This paper cites Neuron-Level Knowledge Attribution in Large Language Models.

PL-CA: A Parametric Legal Case Augmentation Framework Neuron-Level Knowledge Attribution in Large Language Models

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:21:48.452040Z digest=sha256:08b8a69875729674ebeea0202fee67a40360098c817417c200092ed940cc7257

Observation e9dbcc7e-b8ff-4e25-9b68-2344a89622ed · outbound

This paper cites Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction.

PL-CA: A Parametric Legal Case Augmentation Framework Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction

Reference 36

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source=arxiv_source observed=2026-08-15T16:21:48.456167Z digest=sha256:763a7a50864a22f12a9aed9e62cb1af76ec7b711c1c048557d0434dee197b312

Observation 91b4ddd0-6230-4e0a-a091-062ae477c153 · outbound

This paper cites CitaLaw: Enhancing LLM with Citations in Legal Domain.

PL-CA: A Parametric Legal Case Augmentation Framework CitaLaw: Enhancing LLM with Citations in Legal Domain

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:21:48.459902Z digest=sha256:110e113fbf91b1acf2626f5d2c04b56bee43a892764a17bba3f270048392a111

Pith citing papers

No inbound Pith citation observations are available.