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Paper Citation Record · LEDGER

SemRAG: Semantic Knowledge-Augmented RAG for Improved Question-Answering

As of 11 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2507.21110.

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

pith.paper-citation-record.v1
2507.21110 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:42:07.849818Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

34 of 34 outbound references displayed

  • verified exact0
  • verified fuzzy19
  • unresolved15
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c6a18935-11ee-48e3-9262-f00bf945026b · outbound

This paper cites Large legal fictions: Profiling legal hallucinations in large language models.

SemRAG: Semantic Knowledge-Augmented RAG for Improved Question-Answering Large legal fictions: Profiling legal hallucinations in large language models

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:42:13.976366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:42:04.207964Z digest=sha256:c790b96fe080fd623ef137eaaaac3d8518f1ebb749412a6ac6de02bffb51596f

Observation 9e3560c7-257c-4747-a57d-d2c3886d603b · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive nlp tasks.

SemRAG: Semantic Knowledge-Augmented RAG for Improved Question-Answering Retrieval-augmented generation for knowledge-intensive nlp tasks

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:42:13.701880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:42:04.265956Z digest=sha256:e881ae320906bc98b7eabbb8119c81046eb2c5df56a1e25a3b1b5a33cfed9b13

Observation 1863c547-626a-4810-ab32-a0ae2d849abe · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

SemRAG: Semantic Knowledge-Augmented RAG for Improved Question-Answering Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T18:42:04.361348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:42:04.361348Z digest=sha256:0e8234aee40886cb8567ca38c15aefe50e7c7748c73283ef21464a539f6de846

Observation 7c810733-6fa8-4da0-8fbe-8fd62288ec7f · outbound

This paper cites an unresolved cited work.

SemRAG: Semantic Knowledge-Augmented RAG for Improved Question-Answering Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:42:13.441171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:42:04.459288Z digest=sha256:6ad68a6c65243a450167d99e40e8dd948f4f3918f614d0442dd76fa0c0a674d0

Observation 1de95a8b-e28c-4fcc-8e19-94cdd79f7a3d · outbound

This paper cites Is semantic chunking worth the computational cost? In Findings of the Association for Computational Linguistics: NAACL 2025, pages 2155–2177.

SemRAG: Semantic Knowledge-Augmented RAG for Improved Question-Answering Is semantic chunking worth the computational cost? In Findings of the Association for Computational Linguistics: NAACL 2025, pages 2155–2177

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:42:13.159542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:42:04.627633Z digest=sha256:7f624a046918db89e62878d53007385a42914221f5058313bc43b62e91c8eb8d

Observation 1c8bbe8c-8fd1-43d5-ac93-2258215bc72a · outbound

This paper cites NLTK: The natural language toolkit.

SemRAG: Semantic Knowledge-Augmented RAG for Improved Question-Answering NLTK: The natural language toolkit

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T18:42:04.772433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:42:04.772433Z digest=sha256:e8d3a331b3c8c0fbcfa01679a4caeed13953f44d72303ba8ed7d51c6d6302010

Observation 2004089a-adbb-4031-9813-ce89a2a6d939 · outbound

This paper cites Knowledge graphs.

SemRAG: Semantic Knowledge-Augmented RAG for Improved Question-Answering Knowledge graphs

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:42:12.834752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:42:04.902270Z digest=sha256:108015844bc6086dd920358594d634cd1e9e7bd337ac29ddc4278cac45396a83

Observation 516ed409-04be-43eb-b438-5c13010a21cf · outbound

This paper cites On the effectiveness of parameter-efficient fine-tuning.

SemRAG: Semantic Knowledge-Augmented RAG for Improved Question-Answering On the effectiveness of parameter-efficient fine-tuning

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:42:12.506029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:42:04.944487Z digest=sha256:723fed10312022212a4d493743e576947bba70d5aeaa018c0dea4921d9361f2b

Observation a184ef2c-6533-41ed-b5d6-d394b0009279 · outbound

This paper cites an unresolved cited work.

SemRAG: Semantic Knowledge-Augmented RAG for Improved Question-Answering Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:42:12.239368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 2d862b91-a529-4e06-9b18-7c78b40f7cbf · outbound

This paper cites In-context retrieval-augmented language models.

SemRAG: Semantic Knowledge-Augmented RAG for Improved Question-Answering In-context retrieval-augmented language models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T18:42:05.100226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:42:05.100226Z digest=sha256:a8e04d9c811a3b6870f38d56ac3c7ff6d315fd2abc8c6d817a9ff95741e5f109

Observation 9e25564a-b40a-48b7-98bc-60c3df509b3a · outbound

This paper cites Blended rag: Improving rag (retriever-augmented generation) accuracy with semantic search and hybrid query-based retrievers.

SemRAG: Semantic Knowledge-Augmented RAG for Improved Question-Answering Blended rag: Improving rag (retriever-augmented generation) accuracy with semantic search and hybrid query-based retrievers

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:42:11.866919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:42:05.202928Z digest=sha256:0614e0e1b381b38dfa08b002751ab496599641bf975fbf78eda59045798037b3

Observation 163a03d3-5e0a-4bcc-ba66-ce3eeb156796 · outbound

This paper cites an unresolved cited work.

SemRAG: Semantic Knowledge-Augmented RAG for Improved Question-Answering Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:42:11.639013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:42:05.322749Z digest=sha256:7902ee6091e6e275d9d81346e17b557c07e5149e2619a50657cad9aac66a8ae2

Observation 53513f0f-5379-4860-a1b0-3ffe49ab5437 · outbound

This paper cites DSLR: Document refinement with sentence-level re-ranking and reconstruction to enhance retrieval-augmented generation.

SemRAG: Semantic Knowledge-Augmented RAG for Improved Question-Answering DSLR: Document refinement with sentence-level re-ranking and reconstruction to enhance retrieval-augmented generation

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:42:11.364768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:42:05.474304Z digest=sha256:58299dce87a5dc508216b9c040401de53217359e73eefa0a719044d67f6e6498

Observation ba594bff-948c-474c-81be-02fb3d432df3 · outbound

This paper cites Large language models are effective text rankers with pairwise ranking prompting.

SemRAG: Semantic Knowledge-Augmented RAG for Improved Question-Answering Large language models are effective text rankers with pairwise ranking prompting

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:42:11.074760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:42:05.665688Z digest=sha256:afad42013390d82e6014fd88cd848c80f477e08d647355e274cd3c89e282b086

Observation 38996526-193f-4c0c-bd23-6e491653c53c · outbound

This paper cites Large language models and future of information retrieval: Opportunities and challenges.

SemRAG: Semantic Knowledge-Augmented RAG for Improved Question-Answering Large language models and future of information retrieval: Opportunities and challenges

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:42:10.654757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:42:05.822516Z digest=sha256:938d4f59456fd47e9bb20ca8ddbfd6d5802ca7b0519d77216782d7ecf5d7396e

Observation 7829e400-9f01-4fb9-b923-bca3b8c1bf01 · outbound

This paper cites RAGGED: Towards Informed Design of Scalable and Stable RAG Systems.

SemRAG: Semantic Knowledge-Augmented RAG for Improved Question-Answering RAGGED: Towards Informed Design of Scalable and Stable RAG Systems

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T18:42:05.916513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:42:05.916513Z digest=sha256:65d5f1414769d9995f681bd302858e2c863eeefbf0cff96887309fef4e9fb6b7

Observation d3379623-545e-4629-a215-4d77f65641ab · outbound

This paper cites Mix-of-granularity: Optimize the chunking granularity for retrieval-augmented generation.

SemRAG: Semantic Knowledge-Augmented RAG for Improved Question-Answering Mix-of-granularity: Optimize the chunking granularity for retrieval-augmented generation

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:42:10.354962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:42:06.119991Z digest=sha256:7bcf0dc8e9f86ad42e3b6944fa41c06fdd58d300068355b299445047a7d01529

Observation 260e0818-6b6d-49ba-9960-69f2bb987eae · outbound

This paper cites Enhancing retrieval augmented generation with hierar- chical text segmentation chunking.

SemRAG: Semantic Knowledge-Augmented RAG for Improved Question-Answering Enhancing retrieval augmented generation with hierar- chical text segmentation chunking

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:42:10.025108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:42:06.278712Z digest=sha256:f486149435675ed81c98168f99f570da88c4ccfd1a271d7d377dbe4df38e6f99

Observation fdb5b26e-63ce-406a-ba1c-f95aecfed230 · outbound

This paper cites Graph retrieval-augmented generation for large language models: A survey.

SemRAG: Semantic Knowledge-Augmented RAG for Improved Question-Answering Graph retrieval-augmented generation for large language models: A survey

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:42:09.711321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:42:06.413650Z digest=sha256:a25fd53e977d309c9b69182d69f21ee0aa1d0aeca4a94ca0f4865a6714599be4

Observation dd24a363-51e2-404a-a9db-7d0728b62eac · outbound

This paper cites an unresolved cited work.

SemRAG: Semantic Knowledge-Augmented RAG for Improved Question-Answering Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:42:09.484017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:42:06.521693Z digest=sha256:4292c796d2db19a842b37bb102bca1ec398795543be9ceb8ec253f579401c4b5

Observation 719ccdf4-dab5-4944-9cca-c119fd939625 · outbound

This paper cites From Local to Global: A Graph RAG Approach to Query-Focused Summarization.

SemRAG: Semantic Knowledge-Augmented RAG for Improved Question-Answering From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T18:42:06.678315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:42:06.678315Z digest=sha256:3d88ef6503af6264ee8c0dd7e98437f896c005e751045673c90603b62dd69cd2

Observation 9d83f5a6-8760-4d64-aef3-a69edacb7934 · outbound

This paper cites an unresolved cited work.

SemRAG: Semantic Knowledge-Augmented RAG for Improved Question-Answering Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:42:09.194751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:42:06.825374Z digest=sha256:f637066326933776781e081866c94a4065a3cca95024d343bb8c570ab278d78d

Observation 3f471515-3917-4e60-bffe-9066e7bb6a51 · outbound

This paper cites Salton, A.

SemRAG: Semantic Knowledge-Augmented RAG for Improved Question-Answering Salton, A

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:42:08.966949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:42:06.992464Z digest=sha256:9cd6580f319de2aebd7a8b4d24b01792da6befd203b617ec9392be186df3d94d

Observation 07fbaf44-44db-445e-b05b-1f07f4ca5ed1 · outbound

This paper cites Multihop-RAG: Benchmarking retrieval-augmented generation for multi-hop queries.

SemRAG: Semantic Knowledge-Augmented RAG for Improved Question-Answering Multihop-RAG: Benchmarking retrieval-augmented generation for multi-hop queries

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:42:08.857391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:42:07.093364Z digest=sha256:0414852f844bee91feb19ba9cc0a99223bcb1248e6b826e9e8640597e3422b04

Observation 5599c955-0dd1-431e-9c9c-02ea989db55a · outbound

This paper cites Mistral 7B.

SemRAG: Semantic Knowledge-Augmented RAG for Improved Question-Answering Mistral 7B

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T18:42:07.165113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:42:07.165113Z digest=sha256:1dd8b2dfb263c11e90795fb108b037ff6e63496034a298b1fb53bbadd64537cd

Observation ea92d076-52f3-4062-b73b-a1928b131159 · outbound

This paper cites The llama 3 herd of models,.

SemRAG: Semantic Knowledge-Augmented RAG for Improved Question-Answering The llama 3 herd of models,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:42:08.713817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:42:07.224636Z digest=sha256:889bd79e3403b517c8274128bed332442d0a33fe66bb91cda1b5ca387d412698

Observation 7389c676-5efa-4acc-833e-270e47b24e86 · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

SemRAG: Semantic Knowledge-Augmented RAG for Improved Question-Answering Gemma 2: Improving Open Language Models at a Practical Size

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T18:42:07.376383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:42:07.376383Z digest=sha256:504e6f47539583b5c68620e42e4c963734d1e2a673fa5c15010d6263bcb4568a

Observation 7d58dc4a-ee69-4677-b519-a7d413785baf · outbound

This paper cites Morris, Brandon Duderstadt, and Andriy Mulyar.

SemRAG: Semantic Knowledge-Augmented RAG for Improved Question-Answering Morris, Brandon Duderstadt, and Andriy Mulyar

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:42:08.567382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:42:07.464829Z digest=sha256:eb4f99ddf8601c476f041733732c3c88ddcbba7ec329e04a906f0c005d4e39e2

Observation 6e318a1f-beaf-472b-960d-c466fb054e5b · outbound

This paper cites RAGAs: Automated evaluation of retrieval augmented generation.

SemRAG: Semantic Knowledge-Augmented RAG for Improved Question-Answering RAGAs: Automated evaluation of retrieval augmented generation

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:42:08.439781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:42:07.553842Z digest=sha256:cd1fcae7104ebfef4d2d52ac68e15f0ad7808e5a418662263474c7de38b4f1ba

Observation a54ebd9e-b28e-4b8a-b1e7-66114492ca0f · outbound

This paper cites Speculative RAG: Enhancing retrieval augmented generation through drafting.

SemRAG: Semantic Knowledge-Augmented RAG for Improved Question-Answering Speculative RAG: Enhancing retrieval augmented generation through drafting

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:42:08.304524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:42:07.640474Z digest=sha256:030390c0837935d0489380257448e1cf748359c7c898b790ee6ad772c7bc8bbe

Observation 961e3972-e134-40a0-aafc-9e93caa045df · outbound

This paper cites Tanyildiz.

SemRAG: Semantic Knowledge-Augmented RAG for Improved Question-Answering Tanyildiz

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:42:08.199360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:42:07.730037Z digest=sha256:b5e01dbfdceffeceee346565729e7a5e6c3b6dad16f6ce796350006c300e98ad

Observation fa64a8b5-10c3-488b-9ce0-2d96026e87f1 · outbound

This paper cites LightRAG: Simple and Fast Retrieval-Augmented Generation.

SemRAG: Semantic Knowledge-Augmented RAG for Improved Question-Answering LightRAG: Simple and Fast Retrieval-Augmented Generation

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T18:42:07.787725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:42:07.787725Z digest=sha256:05a04204f178d6f3a17b6da39e46a8c0b0e2b80289dcef83ea6fa5fa39727a8e

Observation 2559b2fb-c04b-49ef-b4a8-4b27bb406549 · outbound

This paper cites an unresolved cited work.

SemRAG: Semantic Knowledge-Augmented RAG for Improved Question-Answering Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:42:08.039324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:42:07.849818Z digest=sha256:3f6f7e2927b2a6e608bbb414226af98edcff7b259eb1e3dc275871f22fa1ddbf

Observation 31e5a642-fc4d-4caf-8590-0173988a29c2 · outbound

This paper cites The Llama 3 Herd of Models.

SemRAG: Semantic Knowledge-Augmented RAG for Improved Question-Answering The Llama 3 Herd of Models

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-06T18:42:07.290688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:42:07.290688Z digest=sha256:3cabca4a94f96a461f3d7acba62bd208ea5393b066f93135452da27748502455

Pith citing papers

No inbound Pith citation observations are available.