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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:42:04.207964Z digest=sha256:17bd17c68154d11ba38881a7bbfd1a50fcee07eed3829a3efb5196ae57c07397

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:42:04.265956Z digest=sha256:ad6c018738c2cef6abe6e848b1c9f48bb0a15581dd2d2a5b495ccb12c036b3ca

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=sha256:5d811e6e426cbff5c7fcdd0b78b8d2e609d48c1be19d6ccb229ef436f13224fc

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:42:04.459288Z digest=sha256:422c9c21e76844e4163369c372ee9011c0b8200d4026ac494fd14cb43e3dca05

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:42:04.627633Z digest=sha256:a3e4e02237b22b444ea1b55cfe5f86743912de6b12477cbdc1014c85a3109abe

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:a9b329d3376740390630860372a2912846198ce22d3763601b66a2df508b2944

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:42:04.902270Z digest=sha256:e7f2eb58e6632af7fa6d474cdd0067aa2abf8f54773481277684abeb1f9e772d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:42:04.944487Z digest=sha256:2bbbecf1f71ca5d2585b067fc176ccaf47c30edda6ecaf5a336b761941ef2c9e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:42:05.002025Z digest=sha256:0dc122f5774148d739daf5b7539c507d74cfa8cc340e10df0f3e10fc050719ce

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:d1fee8babcc4bfd8a0530b4f967b3bd1c3a4b80cb6b5486042ee9518a25e8ed8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:42:05.202928Z digest=sha256:dbd079dc145e49e0b883261eadb488cfe533c875fec51801d4550a4b9c651206

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:42:05.322749Z digest=sha256:e0ec7d1bc8d91809e16cefddb1cb8602f7c6864a719e4127944f9ed0ef9ab92b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:42:05.474304Z digest=sha256:d409cec9b76a9a925ea35f6ca230fc55b12589e01e76d144500fff8875d5eaf6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:42:05.665688Z digest=sha256:49a42d6120993fa6d7bc965c9e1215cff660b5ffa01d1dc8a813d83b1d031210

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:42:05.822516Z digest=sha256:48cfec8ab58cd3bd38275fa7e4623e03f8f63ddbcecc79862ee0fb7b756af7e5

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=sha256:0e5165030667f0b4ba6a57ff248081d4b2de38373aa704839639023e3ed95f29

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:42:06.119991Z digest=sha256:570ed5a54c56ffd340bb9f4016b6dd459c8ed61333034a3f223e842c6aa2647d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:42:06.278712Z digest=sha256:dfcb12eac7e3d01590ee4dfd7a4bde96b769654d5e5f09b0ae7d0c0c6cca3091

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:42:06.413650Z digest=sha256:db35b15ad87f2658717260f63509d3f8a1f62b2d8657c12260d4e570edbcb41b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:42:06.521693Z digest=sha256:afe706a1d7402ff785d5807dccab38530043a8ee600c00f40b4d63d9ec8f1596

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=sha256:3e0bb697367bac6e8d0d1ac281caf19d25ed298c044a51b1394dac8ec07bfb10

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:42:06.825374Z digest=sha256:1e820faef1a3074bf0981ea30414472183ee0f53cb54d26182e214ddd3b71864

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:42:06.992464Z digest=sha256:6c26ccbd6ac3af50ef0c5a396341a19892d01295a3cbece40280df55fcae7176

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:42:07.093364Z digest=sha256:abfe6f136b22f15e2703a8e265deeb145dd8885581d3f09559c2393fcda4f3a3

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:b2ad3dc738e7f85169c07449962da9ee5e5b4df8f710cd38c4712adbbc378424

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:42:07.224636Z digest=sha256:f4fa4a9b3d2735aa693d379c10ffb3c9d424cdb0e69300d482c19ea93696f564

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=sha256:648d0a444cf96181f54644ab085709b44a16318fc39c86487b325ae6be8dba5f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:42:07.464829Z digest=sha256:19a21d0e77153b8a9cfeea7aa37d0524e5fdfb3e49cd5e0f0ff53205beffcb48

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:42:07.553842Z digest=sha256:45195cc4964e7347681270974134b47a3a4a8695e95d3abd44af387e6ccc1f00

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:42:07.640474Z digest=sha256:df82c4fc95166d77745bec02e1dfe9627ebc08e365898f6a75c92c5ac11b2c28

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:42:07.730037Z digest=sha256:e004eb825ff830ca4956ad7e4e9842adf31548dab71647b63970b3a2e7b921ed

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:a7d70877b4d70b19bf03243c42c0a7e0d95daf9158419370796c7e3c70011062

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:42:07.849818Z digest=sha256:96f12c6a0e7d56f8fc0856bc401f89515f5e964a4246188b92239d617f3bff59

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:acaa30a60a9885a7ac9c9534d3032283873624cd32478c5dac85126c96ad74b1

Pith citing papers

No inbound Pith citation observations are available.