Paper Citation Record · LEDGER

Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning

As of 9 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 2 inbound Pith citation observations for arXiv:2502.07912.

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

pith.paper-citation-record.v1
2502.07912 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T11:35:30.096281Z

measured 48 of 48 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:50:42.592074Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T17:02:40.627354Z

Reference resolution

46 of 46 outbound references displayed

verified exact3
verified fuzzy1
unresolved42
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 34aa9ba2-d841-4833-820f-2ecffcfbfe9d · outbound

This paper cites an unresolved cited work.

Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-08T11:35:29.954789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32f1cfde-4a35-4da6-b52f-d66b0ea36324 · outbound

This paper cites an unresolved cited work.

Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:35:30.507713Z

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.

Observation e073cd78-47dd-4297-b102-7fcc072c80ed · outbound

This paper cites an unresolved cited work.

Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:35:30.498870Z

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.

Observation 4639fb97-d8b2-4d44-8350-1c7994881ee7 · outbound

This paper cites M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation.

Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-08T11:35:29.965420Z

Source-reported events for the cited work

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Observation 292f6f00-91ac-4ae3-9840-3b830b5e1b04 · outbound

This paper cites an unresolved cited work.

Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-08T11:35:29.969181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49987291-b2f0-4505-a1df-780b4c41becc · outbound

This paper cites LexDrafter: Terminology Drafting for Legislative Documents using Retrieval Augmented Generation.

Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning LexDrafter: Terminology Drafting for Legislative Documents using Retrieval Augmented Generation

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-08T11:35:30.211637Z

Source-reported events for the cited work

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Observation 55dae611-69e7-4f1f-9e60-b2150ecb5770 · outbound

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

Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning Chatlaw: A Multi-Agent Legal Assistant based on a Role-Aligned Mixture-of-Experts Architecture

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-08T11:35:29.976276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84db19f1-99c7-4bb5-ba6c-499740f687b3 · outbound

This paper cites Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models.

Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-08T11:35:29.979644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a4b33ac-38dd-43ac-8732-8d3386596f00 · outbound

This paper cites an unresolved cited work.

Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:35:30.484584Z

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.

Observation 7d1e20e9-fd2c-4c6e-a578-e5a954251f29 · outbound

This paper cites an unresolved cited work.

Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:35:30.475168Z

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.

Observation f91765d1-33d4-4351-b150-e93b4d1d7b01 · outbound

This paper cites an unresolved cited work.

Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:35:30.465844Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 82952282-22f9-445d-80a0-7de9dcecc809 · outbound

This paper cites an unresolved cited work.

Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:35:30.456410Z

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.

Observation c413abc3-840d-4071-b3a7-2b9688a6fb68 · outbound

This paper cites an unresolved cited work.

Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-08T11:35:29.994819Z

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Unavailable: canonical work link unavailable.

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This paper cites an unresolved cited work.

Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:35:30.441358Z

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.

Observation 89394f23-2f61-4914-8a80-d601c56e89eb · outbound

This paper cites Explaining Question Answering Models through Text Generation.

Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning Explaining Question Answering Models through Text Generation

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-08T11:35:30.183065Z

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.

Observation 6ddcd9aa-fbec-42d2-ab4a-d63fc90430ee · outbound

This paper cites u ttler, Mike Lewis, Wen-tau Yih, Tim Rockt \.

Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning u ttler, Mike Lewis, Wen-tau Yih, Tim Rockt \

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-08T11:35:30.003972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66c76c80-b827-4d1e-840c-4210301f92a5 · outbound

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

Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning Enhancing LLM Factual Accuracy with RAG to Counter Hallucinations: A Case Study on Domain-Specific Queries in Private Knowledge-Bases

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T11:35:30.006717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2762be48-a2f9-420d-a284-0f25a64a18de · outbound

This paper cites an unresolved cited work.

Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-08T11:35:30.009817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e95fc217-cc23-4b3e-9890-f705c2e2e7e0 · outbound

This paper cites RETA-LLM: A Retrieval-Augmented Large Language Model Toolkit.

Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning RETA-LLM: A Retrieval-Augmented Large Language Model Toolkit

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-08T11:35:30.161979Z

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.

Observation 2e465e58-2c4e-4d3f-8e7e-8243fda1b9d8 · outbound

This paper cites an unresolved cited work.

Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:35:30.421404Z

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.

Observation 178162f5-dc8b-4aa5-8dfa-bc5b5a29e0dc · outbound

This paper cites an unresolved cited work.

Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:35:30.412342Z

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.

Observation ad064e2f-6ce9-4493-be22-e5b72af1e0c5 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-08T11:35:30.022018Z

Source-reported events for the cited work

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Observation edd9d0c8-33f9-4867-a6f0-24960b3262e1 · outbound

This paper cites an unresolved cited work.

Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:35:30.403502Z

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.

Observation cf81682d-f5ae-498d-9d1e-5124780ef10b · outbound

This paper cites Generation-Augmented Retrieval for Open-domain Question Answering.

Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning Generation-Augmented Retrieval for Open-domain Question Answering

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-08T11:35:30.028286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a7794e0-79f1-463b-87cd-94f65046976d · outbound

This paper cites Zhang, Hui Chia, Kabir Manandhar Shrestha, Rohit Kumar Gupta, Saket Khandelwal, Jeannie Paterson, Timothy Baldwin, and Daniel Beck.

Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning Zhang, Hui Chia, Kabir Manandhar Shrestha, Rohit Kumar Gupta, Saket Khandelwal, Jeannie Paterson, Timothy Baldwin, and Daniel Beck

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:35:30.394437Z

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Observation ee56818c-94c6-480f-88d1-45a9c0a9498c · outbound

This paper cites an unresolved cited work.

Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:35:30.385305Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b3f8c900-6cec-46a3-b06d-55f68229aeb9 · outbound

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Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:35:30.375641Z

Source-reported events for the cited work

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Observation 41c41b6e-d7a7-4eff-9bc7-afc366a7dea1 · outbound

This paper cites an unresolved cited work.

Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:35:30.366427Z

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Observation 004b7b8d-b699-4740-a0c6-011c1f6f5f3a · outbound

This paper cites an unresolved cited work.

Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:35:30.356375Z

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Observation 56c2d00b-45ba-4bd4-b88e-868fc8ec5768 · outbound

This paper cites an unresolved cited work.

Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:35:30.347370Z

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Observation 3c79f16b-d7c4-42b1-b11a-0a51ac0928ad · outbound

This paper cites an unresolved cited work.

Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:35:30.338068Z

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Observation 7a1bf721-c047-456a-ac42-b5de79d4b235 · outbound

This paper cites an unresolved cited work.

Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:35:30.328937Z

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Observation 3c0b2840-9db9-4277-b72e-64852fd0528d · outbound

This paper cites an unresolved cited work.

Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:35:30.318419Z

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Observation 4996e8bc-4c49-4015-ba57-48caaf7475d9 · outbound

This paper cites Retrieval Augmented Generation for Domain-specific Question Answering.

Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning Retrieval Augmented Generation for Domain-specific Question Answering

Reference 34

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Observation ecabdb3a-5e17-41c6-8f0d-a2e2724ccbe2 · outbound

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Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning Unresolved cited work

Reference 35

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Unavailable: canonical work link unavailable.

Observation 7fdba507-bf01-464a-b1df-d8da475a82dd · outbound

This paper cites an unresolved cited work.

Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:35:30.303852Z

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Observation e6911d22-6766-4d2f-97fe-5ad5ee2e3361 · outbound

This paper cites an unresolved cited work.

Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:35:30.294006Z

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Observation 91fe6e90-551f-4229-8348-d772dd45d652 · outbound

This paper cites an unresolved cited work.

Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:35:30.284748Z

Source-reported events for the cited work

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Observation 5c6842e3-29d3-4bae-9feb-36e7a3f8c845 · outbound

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Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning CBR-RAG: Case-Based Reasoning for Retrieval Augmented Generation in LLMs for Legal Question Answering

Reference 39

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Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:35:30.275043Z

Source-reported events for the cited work

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Observation bef1e4af-7ecf-4444-89d8-c5bd1aadaf16 · outbound

This paper cites an unresolved cited work.

Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning Unresolved cited work

Reference 41

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Source-reported events for the cited work

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Observation c67d419a-96f3-4105-a51e-5686a587b6a1 · outbound

This paper cites an unresolved cited work.

Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning Unresolved cited work

Reference 42

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Observation d8d3c3f3-8d29-430b-aa27-ccaeb829c284 · outbound

This paper cites an unresolved cited work.

Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning Unresolved cited work

Reference 43

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Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning Unresolved cited work

Reference 44

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Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning online" 'onlinestring :=

Reference 45

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Source-reported events for the cited work

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Observation 833c924b-a6a6-4f88-904e-6f8b7372f52a · outbound

This paper cites write newline.

Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning write newline

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-08T11:35:30.096281Z

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Unavailable: canonical work link unavailable.

Pith citing papers

Observation 0965b5d2-0802-4647-b0ef-953c06063cda · inbound

DIGMAPPER: A Modular System for Automated Geologic Map Digitization cites this paper.

DIGMAPPER: A Modular System for Automated Geologic Map Digitization Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-06T23:50:42.592074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10b6a9c4-ccde-4063-9e79-928f6cb74fa4 · inbound

Active Domain Knowledge Acquisition with 100-Dollar Budget: Enhancing LLMs via Cost-Efficient, Expert-Involved Interaction in Sensitive Domains cites this paper.

Active Domain Knowledge Acquisition with 100-Dollar Budget: Enhancing LLMs via Cost-Efficient, Expert-Involved Interaction in Sensitive Domains Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-08-05T17:02:40.635280Z

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.