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Paper Citation Record · LEDGER

Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2502.10708.

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

pith.paper-citation-record.v1
2502.10708 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 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 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:23:02.924153Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T08:55:34.905780Z

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 40f7b71a-8b76-4081-b6b0-4035a0eb7e2e · inbound

Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices cites this paper.

Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey

Reference 105

Resolution
verified exact
arxiv_id, observed 2026-05-23T01:05:16.236011Z

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=pdf_text observed=2026-05-23T01:03:26.037233Z digest=sha256:d3cad83325d0c852b2f46c7cc5fecb82bdad7844ae8ac4f9d353d73b8c6c915f

Observation 72687450-45bb-4fad-819c-71493aae0c64 · inbound

Audio Jailbreak: An Open Comprehensive Benchmark for Jailbreaking Large Audio-Language Models cites this paper.

Audio Jailbreak: An Open Comprehensive Benchmark for Jailbreaking Large Audio-Language Models Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T15:23:02.924153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:23:02.924153Z digest=sha256:374778975ed7fb7464f04dd62ce59813f8b3d88a7d3459b7e0b8c01c712beb02

Observation 18cf9e13-2742-42c9-9a05-9ab24f2ecaab · inbound

Cross-Lingual Pitfalls: Automatic Probing Cross-Lingual Weakness of Multilingual Large Language Models cites this paper.

Cross-Lingual Pitfalls: Automatic Probing Cross-Lingual Weakness of Multilingual Large Language Models Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T14:31:34.143825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:31:34.143825Z digest=sha256:5f402dddeba3f4a0e394260e2098d01b2c3d658ebc45443abd6e6cf8d220e951

Observation 144b460c-365a-4c3b-9346-af7033c27931 · inbound

SocialMaze: A Benchmark for Evaluating Social Reasoning in Large Language Models cites this paper.

SocialMaze: A Benchmark for Evaluating Social Reasoning in Large Language Models Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:12.924587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:12.924587Z digest=sha256:e41df1f0ac05f2c14f9051b46c2e557a20983fcf53e063098dfeb683c5091418

Observation 9a1ee0da-0ed8-4edb-a4ac-6b193ac44ecb · inbound

Collaborative Editable Model cites this paper.

Collaborative Editable Model Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:12.949425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:24:12.949425Z digest=sha256:7915e409c68fe184cadb4a138d6ef8d59c156ab6213512b2e3ecda4d7906051f

Observation b8a6369f-52d2-4c1d-93dd-00a13b8c7f6d · inbound

Seeing is Fixing: Cross-Modal Reasoning with Multimodal LLMs for Visual Software Issue Fixing cites this paper.

Seeing is Fixing: Cross-Modal Reasoning with Multimodal LLMs for Visual Software Issue Fixing Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:32.332793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:32.332793Z digest=sha256:b95a31b59139db529cd40c2eeff0e834fa3786595c8798af6d7e39a8786347b1

Observation dd80d6f0-6ab8-432c-942f-0714c5cabcde · inbound

BLOCKS: Blockchain-supported Cross-Silo Knowledge Sharing for Efficient LLM Services cites this paper.

BLOCKS: Blockchain-supported Cross-Silo Knowledge Sharing for Efficient LLM Services Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T22:40:38.180832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:40:38.180832Z digest=sha256:1a84e0f2266b7f3c82c532bb2abdd58f52e0a1ee577709f49e9991534ef00ae1

Observation f9befa8c-1af5-4128-b840-69f88aeafb2f · inbound

RELRaE: LLM-Based Relationship Extraction, Labelling, Refinement, and Evaluation cites this paper.

RELRaE: LLM-Based Relationship Extraction, Labelling, Refinement, and Evaluation Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T20:05:22.078666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:05:22.078666Z digest=sha256:dda399372a43a6e12219eaf79a23c00ff800a39533ce182b9264fca040364c42

Observation 601678b7-47f3-47dc-9f68-49b2d0449fc2 · inbound

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching cites this paper.

Flipping Knowledge Distillation: Leveraging Small Models' Expertise to Enhance LLMs in Text Matching Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T19:29:08.727188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:29:08.727188Z digest=sha256:a443b5c4e12dae67c1a7b116f3423d733eee93acdfb4a9b94e2a016fd136e275

Observation def440c5-0b84-42d2-9ad3-35846673aa3d · inbound

Knowledge Conceptualization Impacts RAG Efficacy cites this paper.

Knowledge Conceptualization Impacts RAG Efficacy Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T18:01:20.307802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:01:20.307802Z digest=sha256:872e74aee8e1400e24fc4eeec34142025c940175fb34b63998972da85309f8a2

Observation 8392c25d-76c2-415e-b8dc-732779528e0a · inbound

CEQuest: Benchmarking Large Language Models for Construction Estimation cites this paper.

CEQuest: Benchmarking Large Language Models for Construction Estimation Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-05T17:35:53.280877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:35:53.280877Z digest=sha256:967beed956eac270d709bd73752023dca3399056f573b9bb610b991e9c42f227

Observation bbdd4f3a-f142-4ead-a466-ae1f4859f75d · inbound

Gene-R1: Reasoning with Data-Augmented Lightweight LLMs for Gene Set Analysis cites this paper.

Gene-R1: Reasoning with Data-Augmented Lightweight LLMs for Gene Set Analysis Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-04T18:48:58.299011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:48:58.299011Z digest=sha256:87fd3151f616d0c0adcbb8855c1e32b2e55a215076ba64d3b980c0d534b777a7

Observation 361e2e8f-4445-4fea-9cd5-cd3f3ad08711 · inbound

G-reasoner: Foundation Models for Unified Reasoning over Graph-structured Knowledge cites this paper.

G-reasoner: Foundation Models for Unified Reasoning over Graph-structured Knowledge Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-18T13:26:25.018930Z

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=2026-05-18T13:23:30.218806Z digest=sha256:f4aca8d688982aabf03942720ff61417c0bb0893971b7c84001281bd281f05e6

Observation 53e812b2-3912-4758-9bae-5a7c0218b105 · inbound

KnowPilot: Your Knowledge-Driven Copilot for Domain Tasks cites this paper.

KnowPilot: Your Knowledge-Driven Copilot for Domain Tasks Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T06:16:20.738560Z

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=pdf_text observed=2026-05-10T06:15:44.360621Z digest=sha256:8fd5df71381bfc8b50d99ecc248cbdafc5356dc6a644e5a57d34229e10c2c7fb

Observation c02b3029-7b67-49ba-8ba4-35cb9453ce89 · inbound

TeleCom-Bench: How Far Are Large Language Models from Industrial Telecommunication Applications? cites this paper.

TeleCom-Bench: How Far Are Large Language Models from Industrial Telecommunication Applications? Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-20T11:28:14.647147Z

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=pdf_text observed=2026-05-20T11:23:34.256279Z digest=sha256:11edeaee87da5335b6d3844e69fba10e3e3117453adcab7e860a8ec7ab344b47

Observation db881255-cc4f-49f5-9fb7-f7ecc85f321a · inbound

Less is More: Lightweight Prompt Compression for Question Answering Applications on Edge Devices cites this paper.

Less is More: Lightweight Prompt Compression for Question Answering Applications on Edge Devices Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-01T08:55:34.907283Z

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=pdf_text observed=2026-07-01T08:49:28.538659Z digest=sha256:6fd536e0b9ad0ed9c5ecba9a84743ddd268b0f8399fd30731cc450d5f32cfa46

Observation 397eec3c-e6ea-4db7-ad12-e637502c36e8 · inbound

Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection cites this paper.

Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly Detection Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey

Reference 33

Resolution
unresolved
no resolver link, observed 2026-07-11T23:45:43.436443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T23:45:43.436443Z digest=sha256:3272f8323041e9f1460d4894db63e2aaffdf525c78de8c90c411ce433ff1e56d

Observation e0f9f805-0ffc-4737-9139-e1434ced13db · inbound

Inside the Unfair Judge: A Mechanistic Interpretability Account of LLM-as-Judge Bias cites this paper.

Inside the Unfair Judge: A Mechanistic Interpretability Account of LLM-as-Judge Bias Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey

Reference 187

Resolution
unresolved
no resolver link, observed 2026-07-14T02:33:34.084111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T02:33:34.084111Z digest=sha256:259247ffbbb20e313bdda3908577487366dc4690eba186fe7dd37cbeb2f0bfa6

Observation a6017c3a-23d3-43f2-b275-bbeb92226ca0 · inbound

AdaptAgent: A Multi-agent, Domain-Guided Reasoning Framework for Code Adaptation cites this paper.

AdaptAgent: A Multi-agent, Domain-Guided Reasoning Framework for Code Adaptation Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T23:51:01.068941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:01.068941Z digest=sha256:fa7c8bc472e39e37d7a8dfacb4012727d7fe1b4402e344160af70ccea9faac88