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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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.

source=arxiv_source observed=2026-08-08T11:35:29.954789Z digest=sha256:af181c8a6823fc2df14d3981a152d4cb018423cb806179927001cd9cb13c0fca

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T11:35:29.958748Z digest=sha256:a88dc07facc22b1a24f6b1b847e9227d961d351145603a1888464d9c1b83b5d5

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T11:35:29.961869Z digest=sha256:35642edd8140210dbc4202eb59030957e747d12abb1a6c6ab5eedfc8235b7f96

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T11:35:29.965420Z digest=sha256:aabca23edb5512503ae475aae2477e0fa935a0e09a16af62b645162842ff1fdf

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.

source=arxiv_source observed=2026-08-08T11:35:29.969181Z digest=sha256:9338d2f94f9f255e6224fb39aa3df21cdcf2b3006e071bf8c24b5ba5e47c8194

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

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

source=arxiv_source observed=2026-08-08T11:35:29.972508Z digest=sha256:1bdeb1e939f2ec689bfbe602962c56162e20fc69a05312233c1d65625ffb94db

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.

source=arxiv_source observed=2026-08-08T11:35:29.976276Z digest=sha256:84ae9ad12c9a780bf1c66d22f377c2d636c216efcaa19dac62aa8ff461497d4b

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.

source=arxiv_source observed=2026-08-08T11:35:29.979644Z digest=sha256:d5e1488fab694a19c8699c765292cfb1ae49fe9e3632327fb7deff4fe94a1fbc

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T11:35:29.983094Z digest=sha256:6f63a07ed10404fc454e8aa4e53b9b61b24d083f66f15300179360e55ac98a8b

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T11:35:29.986060Z digest=sha256:9ac6de498e90507414e0871e673c19ea95c9b20e0229469b7f1fcbdbb3511eea

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

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=2026-08-08T11:35:29.988944Z digest=sha256:ccb8caac201258423e8f48b4817bc4cc9dff2e0fa83d45a4ab90ca3e1ead6f44

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T11:35:29.992116Z digest=sha256:7aa5befa30e6ba5406ce73ee138995d1ef209f674813d1c4ffc115f21e359269

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T11:35:29.994819Z digest=sha256:4bf9e13c2e0066c0e7bf44ed0ce6493d84a3e6443f2e558cd81b5dcf244022a6

Observation a702e98a-9a6a-4764-9881-a493a36123c4 · 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 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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T11:35:29.997651Z digest=sha256:0589cc09b78f4caf3c8ef48ee405454bb6f3928e1136884f8c8cbccd2780c1e7

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T11:35:30.000475Z digest=sha256:0b37cb4d24f1ffe1c22b99a9b441b684aa614e254adcaa9e9adc1a755eba6743

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.

source=arxiv_source observed=2026-08-08T11:35:30.003972Z digest=sha256:7cf1ace54b93883fa1461728f9c79b39e898b42d89a2cc4f962a2d3fa30f478f

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T11:35:30.006717Z digest=sha256:6b204d148c5a6969ace13ec762afdb21f8be812500e7a07ec61f564f49ef4b36

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T11:35:30.009817Z digest=sha256:0b77c83280d4c67543cc8c01d359fa1ccda013d378ebd45c6cc81d9d600805f6

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T11:35:30.012614Z digest=sha256:c1208a273097eb3e543d39a6e6fe626bdac88b6844faae75f0e84b05ec730318

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T11:35:30.015854Z digest=sha256:89a2f4888467c185fca88592b0ec4cf4c1209f849febd5cb77166ee1be6667de

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T11:35:30.019005Z digest=sha256:13418b9c7db358e8cc4b3350a6fd887fbff46f43d0c935931969dd119a58058e

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T11:35:30.022018Z digest=sha256:b33c9fc1c42403f80d95a8ef299f395fb4f123f3221aa11d9c10f902f8a4ef97

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T11:35:30.025071Z digest=sha256:5ca92327440eee0ba25b0ed069fa63886107946ba921a26372685ecb8a6d0cb6

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.

source=arxiv_source observed=2026-08-08T11:35:30.028286Z digest=sha256:7f21d773de61d55ce73301018c8c842c0fbde5837a196392793df9660ed0a551

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

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=2026-08-08T11:35:30.031546Z digest=sha256:6a8e76f4512bb1644a56de4ba51df33f3390e138e5ea9968b9409dae1f1cf224

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

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=2026-08-08T11:35:30.034582Z digest=sha256:dd13b50668fb2a9ab879467d33b201ee46baa2fddf7c1a2ff1116798a84a767c

Observation b3f8c900-6cec-46a3-b06d-55f68229aeb9 · 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 27

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

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=2026-08-08T11:35:30.037666Z digest=sha256:812a5653d9d3309633475d7f9c9f017e25c43ea69272fd1a0f163a0c0c24ee7e

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

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=2026-08-08T11:35:30.040951Z digest=sha256:e52a75b05097ace277a25f669964baad4392c8982390ff2b3981c68257bcde45

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

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=2026-08-08T11:35:30.044063Z digest=sha256:38a6c34bf7e4d262bce5ea79e51bd84f3a0398904a4421e403988a5fd8eef095

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

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=2026-08-08T11:35:30.046780Z digest=sha256:4111914e3f6b75bb061370512ed4b0576b55bc30b9616898c63207d7a2587160

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

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=2026-08-08T11:35:30.049791Z digest=sha256:1e6c6f45a8b4905fe6041f2e215fa1fa929768a4e9f8dbdc7f7912583e19c184

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

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=2026-08-08T11:35:30.052769Z digest=sha256:03a47fc63d4f34d450800591013a9fd7583af886b2c58b0f6d186fc05fd092a6

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

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=2026-08-08T11:35:30.056220Z digest=sha256:f9bae606b9ede9b7cccc7b4bd6be4a5cb3a07db71f92ce68d3c01b55da48c8b9

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

Resolution
unresolved
no resolver link, observed 2026-08-08T11:35:30.058879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T11:35:30.058879Z digest=sha256:0dd3210efa76810dc966e2c0654127b8d5d2e5dc1f848844854de07e2707390a

Observation ecabdb3a-5e17-41c6-8f0d-a2e2724ccbe2 · 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 35

Resolution
unresolved
no resolver link, observed 2026-08-08T11:35:30.061828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T11:35:30.061828Z digest=sha256:25d7af0f234812079f7f888ba12a67075a92276584769a9d6ba43bba1f80cece

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

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.

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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

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.

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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

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

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

This paper cites CBR-RAG: Case-Based Reasoning for Retrieval Augmented Generation in LLMs for Legal Question Answering.

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

Resolution
unresolved
no resolver link, observed 2026-08-08T11:35:30.074525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T11:35:30.074525Z digest=sha256:a26e0b79d3f267565756517b4f791a8537d231c5dd367a885503dd83b2dd8c66

Observation 743dbec5-e46e-4aac-a113-8621cede6d2a · 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 40

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

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.

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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

Resolution
unresolved
raw_fallback, observed 2026-08-08T11:35:30.265411Z

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.

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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

Resolution
unresolved
raw_fallback, observed 2026-08-08T11:35:30.256152Z

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.

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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

Resolution
unresolved
no resolver link, observed 2026-08-08T11:35:30.086563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T11:35:30.086563Z digest=sha256:87f74cc902f1460da21c27df570a52a9bd87c871a43b070be0282a00bf1b2252

Observation 0df0cdb0-735c-4f79-94e8-0ae2c4c8b89c · 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 44

Resolution
unresolved
raw_fallback, observed 2026-08-08T11:35:30.241341Z

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=2026-08-08T11:35:30.089649Z digest=sha256:e335831cced0c4914e21c4ef8a09e3cc032cfca27bcc629189fe8978c83b4317

Observation af6c60cc-cce7-432d-98be-9a745bdf9d13 · outbound

This paper cites online" 'onlinestring :=.

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

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-08T11:35:30.092749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T11:35:30.092749Z digest=sha256:61923736d6b20d06a5ef11d0cd865ca4a8ae7ceeec86882310276f9356746d7d

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T11:35:30.096281Z digest=sha256:e257fb9dd431ccbf94d93ff641b61c0c31d3e664e65de3186ae5db98cc660b29

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.

source=pdf_text observed=2026-08-06T23:50:42.592074Z digest=sha256:1454564e1c4ba3264f55c58ea776ec9f4e6d33cdf31484cde648e0030f6e0aab

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 2026-08-08T06:32:00.761636+00:00.

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