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Paper Citation Record · LEDGER

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation

As of 19 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 6 inbound Pith citation observations for arXiv:2507.05714.

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

pith.paper-citation-record.v1
2507.05714 v3

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:24:53.797281Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:20:37.031252Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T03:37:35.708363Z

Reference resolution

35 of 35 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved34
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b285bd9e-ecb5-4cfd-ae79-8ed53d6b22c3 · outbound

This paper cites an unresolved cited work.

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation Unresolved cited work

Reference 1

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no resolver link, observed 2026-08-06T19:24:50.104228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:24:50.104228Z digest=sha256:2bdee106fa5b886c04bf0cdd0c787dd9704b15a170bff7a33dea48f1c95d73bd

Observation a5c7e7ee-67ee-40e0-9bf8-5bd9875c497c · outbound

This paper cites Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection.

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 2

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no resolver link, observed 2026-08-06T19:24:50.175682Z

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source=arxiv_source observed=2026-08-06T19:24:50.175682Z digest=sha256:eb4a86e72297632426fd285b471950d17b3800c2945001ba37e7db9be5da7a9e

Observation b1325591-250e-4530-b20e-607827cc177b · outbound

This paper cites RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation.

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation

Reference 3

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source=arxiv_source observed=2026-08-06T19:24:50.280623Z digest=sha256:6aaa08cc6f5ab7c07d081a39249f643b6fd0271c359a14bfb5eada4654b96e86

Observation b07cf664-b701-4a39-a7aa-72b453789ac8 · outbound

This paper cites Benchmarking Large Language Models in Retrieval-Augmented Generation.

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation Benchmarking Large Language Models in Retrieval-Augmented Generation

Reference 4

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:24:50.354323Z digest=sha256:2d693df7c71b028caadf4b2aa0b75913e4bf6a9fbf13190d5bffdd6c66e40e6b

Observation d6cebeaa-9a2e-4989-8c0d-e806c60cb19d · outbound

This paper cites Similarity is Not All You Need: Endowing Retrieval Augmented Generation with Multi Layered Thoughts.

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation Similarity is Not All You Need: Endowing Retrieval Augmented Generation with Multi Layered Thoughts

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:24:50.451748Z digest=sha256:979289ced2a8f0e5c3c6e946f88809deb3a76de11be08a6dc16341e3480e1108

Observation d37c01da-dbcd-4b92-bc8f-ac116584881e · outbound

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

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 6

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:24:50.534280Z digest=sha256:78a52395ce6aa43b462360492900e499299483f1755abb7f1fb62f4d28733d7f

Observation 309fb8df-4ce8-48bf-b4e7-981d0b64a3f5 · outbound

This paper cites Re2G: Retrieve, Rerank, Generate.

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation Re2G: Retrieve, Rerank, Generate

Reference 7

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source=arxiv_source observed=2026-08-06T19:24:50.608052Z digest=sha256:852f68a76447a7aa4378d694c3578d0e1aa5d204a0d3c3737e0c43bd31ef5a29

Observation f4a896c2-f4d9-4344-88b9-9813e301bf22 · outbound

This paper cites The Llama 3 Herd of Models.

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation The Llama 3 Herd of Models

Reference 8

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:24:50.687299Z digest=sha256:ee9a63b51e134e8cd5b6a60e3622b068bdc572bdbcc9e0ea47b134a4aab475cf

Observation ebfb0b45-304b-4ffd-a170-aba67ea014cc · outbound

This paper cites REALM: Retrieval-Augmented Language Model Pre-Training.

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation REALM: Retrieval-Augmented Language Model Pre-Training

Reference 9

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:24:50.762672Z digest=sha256:2f7983763d14e4b508ea344ca2e7411ab654abe05d3569cd4ad2538557017224

Observation e84d8c5a-315c-4216-9660-6d8ee4430295 · outbound

This paper cites Unsupervised Dense Information Retrieval with Contrastive Learning.

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation Unsupervised Dense Information Retrieval with Contrastive Learning

Reference 10

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:24:50.862128Z digest=sha256:e8074d93727638e1391bf4b47abd351300a20cba10ac66e9735761b902756a36

Observation 1b074398-5056-4add-82ed-72cb467ee1e8 · outbound

This paper cites Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity.

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity

Reference 11

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:24:50.937376Z digest=sha256:0b9a1b59dd2b0ba2fc9a1f3d87b1fe3e62f6e9c9d02368a914e6955e5c65536a

Observation 75de11d2-0a5d-49cc-bb96-2c5cfa176d76 · outbound

This paper cites PubMedQA: A Dataset for Biomedical Research Question Answering.

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation PubMedQA: A Dataset for Biomedical Research Question Answering

Reference 12

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:24:51.044477Z digest=sha256:eda95b078861c7d108502d3d144a0069500575eb62d4f89c2130e7143b05efb7

Observation 30025f82-6b1a-427e-b7ad-024588f0a936 · outbound

This paper cites Efficient Memory Management for Large Language Model Serving with PagedAttention.

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation Efficient Memory Management for Large Language Model Serving with PagedAttention

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:24:51.129296Z digest=sha256:f7e8f5e714af2c6d1f2a0f41b25051628d995cd2b68153c15a11170021769d96

Observation 220e272e-14df-468a-951d-2c453ad08e2f · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 14

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source=arxiv_source observed=2026-08-06T19:24:51.212243Z digest=sha256:85c95503069e98c705519c01346615b54f826e69a2fd8dc26b3b451ef895a646

Observation 5dfd4035-795f-4bb1-a325-145dd1ea584f · outbound

This paper cites Evaluating Verifiability in Generative Search Engines.

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation Evaluating Verifiability in Generative Search Engines

Reference 15

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no resolver link, observed 2026-08-06T19:24:51.275802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:24:51.275802Z digest=sha256:8fcaccbf900870011f6c87b60e067aa74d23254eec69a834917d0a261e0a6ec9

Observation 0e1fcf93-988f-465b-a8a3-acc6eb8bf42f · outbound

This paper cites ChatQA: Surpassing GPT-4 on Conversational QA and RAG.

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation ChatQA: Surpassing GPT-4 on Conversational QA and RAG

Reference 16

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:24:51.379621Z digest=sha256:d72a51535047cfebc346b6d95262930bb15241da2f35f54840794985c231f8f0

Observation 71886768-6fbb-4795-894c-9096ba29b245 · outbound

This paper cites When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories.

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories

Reference 17

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source=arxiv_source observed=2026-08-06T19:24:51.468480Z digest=sha256:c1633458ebe3412aa4b32ca0ceb60c608bda88db74461ec7780da682f72905af

Observation 0ee91bf1-5067-4c31-b46f-9db94a0af3f4 · outbound

This paper cites GPT-4 Technical Report.

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation GPT-4 Technical Report

Reference 18

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source=arxiv_source observed=2026-08-06T19:24:51.530008Z digest=sha256:36474fe02f98155594a44dfa79223bf8812efb84107cf3dd599c30dcd75bd23c

Observation 4481cc7b-1372-4743-ba5a-8e0fe63fab75 · outbound

This paper cites In-Context Retrieval-Augmented Language Models.

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation In-Context Retrieval-Augmented Language Models

Reference 19

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:24:51.610954Z digest=sha256:19bddaaf76d63baae24704eab9ebc79145bbc1dd6d340c02ed301a02eaac461b

Observation 50a07832-9a34-4150-8f29-d289a2840f83 · outbound

This paper cites Towards Faithful and Robust LLM Specialists for Evidence-Based Question-Answering.

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation Towards Faithful and Robust LLM Specialists for Evidence-Based Question-Answering

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:24:51.809937Z digest=sha256:899d40ddec2f92d1c8b9b83bd9d6d4936e2afbb2063c2051ff38f8ce5c93c0bc

Observation 069f6937-a358-4d54-9bac-7bd76e8d40a7 · outbound

This paper cites Large Language Models Can Be Easily Distracted by Irrelevant Context.

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation Large Language Models Can Be Easily Distracted by Irrelevant Context

Reference 21

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source=arxiv_source observed=2026-08-06T19:24:51.991510Z digest=sha256:eaea401752b2ea507b603caf2279e924bd2310696c3736bfa8a9297f9f4fcf80

Observation 214e8902-9a7e-4c43-a26c-c344848ba4a4 · outbound

This paper cites an unresolved cited work.

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation Unresolved cited work

Reference 22

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:24:52.129546Z digest=sha256:af4a297bb65a0b802a8940928fff1c359c35ba2ded8774d607058593383bf0a6

Observation b3224de9-dd24-4770-a883-bd42f3eedfef · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 23

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source=arxiv_source observed=2026-08-06T19:24:52.238510Z digest=sha256:13a57ea0223adfc98646070c531f57fce550b57b048c3f8a11b399dd6ef967c0

Observation e0703914-dbb0-46e3-9d1e-d1cd8873fdb2 · outbound

This paper cites MuSiQue: Multihop Questions via Single-hop Question Composition.

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation MuSiQue: Multihop Questions via Single-hop Question Composition

Reference 24

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:24:52.375707Z digest=sha256:5c8c9a3c2f949880b5ad232ad2d1bac47bee2ff6ac54efbc6ce32d7f0af3d44e

Observation 4a63383f-ac01-4249-9d2f-f90711f38d47 · outbound

This paper cites InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining.

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining

Reference 25

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source=arxiv_source observed=2026-08-06T19:24:52.540163Z digest=sha256:cabe122d483f6380e988e4d56722130ca48ce6ee0c55e101f69fb60264297247

Observation e892e0d7-a639-43bc-968c-65bff2afdc1d · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 26

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no resolver link, observed 2026-08-06T19:24:52.704493Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:24:52.704493Z digest=sha256:38b14083933703962cdc14a83557a21421da54999c8abab629dc22479d59adb0

Observation 85ec07dc-4f2b-421f-b90f-b4ccef465ea1 · outbound

This paper cites InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales.

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales

Reference 27

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unresolved
no resolver link, observed 2026-08-06T19:24:52.819484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:24:52.819484Z digest=sha256:cbba84705064ddbaed9c728e7cfb06743ab5cf333565712936a2c139c9f5c637

Observation 8e300ee3-8d5c-43b1-aa30-ee6dd9a01cc2 · outbound

This paper cites ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities.

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities

Reference 28

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no resolver link, observed 2026-08-06T19:24:52.935031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:24:52.935031Z digest=sha256:a5fbf6947c1feac3b09e68de3efa14041fc1ad65c3a997cc55e35376571bf157

Observation 082d7d84-4e74-4104-accf-a745477d0036 · outbound

This paper cites HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering.

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Reference 29

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unresolved
no resolver link, observed 2026-08-06T19:24:53.055003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:24:53.055003Z digest=sha256:23cabd1a45e868c715904e4405196d22251833eb38d8bbf528e468bb7fbb3793

Observation 8186e39a-1615-4be8-8e25-e1a19f271971 · outbound

This paper cites RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs.

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs

Reference 30

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:24:53.214443Z digest=sha256:c5486586519290379343a7f37515ec0d6a12d958ecedce73b3c4215d0e69f1e5

Observation 1005dd11-28af-48d4-9469-ea35a027c9ef · outbound

This paper cites RAFT: Adapting Language Model to Domain Specific RAG.

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation RAFT: Adapting Language Model to Domain Specific RAG

Reference 31

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unresolved
no resolver link, observed 2026-08-06T19:24:53.356483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:24:53.356483Z digest=sha256:ad85a3b522be6f6bc9ec689d128e2d9ac532075bbfce94b625a94f6df7255e4a

Observation 130ef53c-4e31-4e0d-9f89-e9ece8e44098 · outbound

This paper cites Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models.

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models

Reference 32

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:24:53.481397Z digest=sha256:3d5034c1f815490aae8636c5bfb64b692e849a948a40fce68f8125d2d20c2735

Observation 2d76cc8f-01e4-4f5c-b565-8a8e0e7ec754 · outbound

This paper cites An Empirical Study of Retrieval Augmented Generation with Chain-of-Thought.

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation An Empirical Study of Retrieval Augmented Generation with Chain-of-Thought

Reference 33

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verified exact
local_arxiv, observed 2026-08-06T19:24:54.036798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T19:24:53.596252Z digest=sha256:ea73bc47c552f7d037a3096adc198672cf7e71f9b65420b247a7a898ae324674

Observation 169d601d-b35c-4499-acf3-a29ab54ef980 · outbound

This paper cites online" 'onlinestring :=.

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation online" 'onlinestring :=

Reference 34

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:24:53.694085Z digest=sha256:fb75c2c90eaeef2755e13adce70d4d601e1576ac65227817fc6400eaeee916ae

Observation 06d75e68-9222-459a-95b1-411ac94e89fa · outbound

This paper cites write newline.

HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation write newline

Reference 35

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:24:53.797281Z digest=sha256:2070daaf13669f405ddad0df6a9a8acc89fdddf3bf057c94447a59bcb512e5f4

Pith citing papers

Observation 5410abcd-323d-4eda-9299-0e1f976fb587 · inbound

PRGB Benchmark: A Robust Placeholder-Assisted Algorithm for Benchmarking Retrieval-Augmented Generation cites this paper.

PRGB Benchmark: A Robust Placeholder-Assisted Algorithm for Benchmarking Retrieval-Augmented Generation HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation

Reference 10

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no resolver link, observed 2026-08-06T14:47:45.660904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:47:45.660904Z digest=sha256:6e03d813278f35e5da7a6d83e086ee74a987f532dbb3f755238050358f36fa01

Observation 03cc28d5-51a9-45a6-a2b9-70c56cd2a168 · inbound

GOSU: Retrieval-Augmented Generation with Global-Level Optimized Semantic Unit-Centric Framework cites this paper.

GOSU: Retrieval-Augmented Generation with Global-Level Optimized Semantic Unit-Centric Framework HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-05T13:36:37.428094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:36:37.428094Z digest=sha256:63f9eb2ca26cf96d9211dc022db60ce714f6cf3489383f58f22cb33e47fd0c9b

Observation ecf87a9b-83fc-4fab-93c4-9529cf208dee · inbound

HANRAG: Heuristic Accurate Noise-resistant Retrieval-Augmented Generation for Multi-hop Question Answering cites this paper.

HANRAG: Heuristic Accurate Noise-resistant Retrieval-Augmented Generation for Multi-hop Question Answering HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-15T16:20:37.031252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:20:37.031252Z digest=sha256:c829d81fbb7172e455175dabff44f5197883448ec510b7a6ffd9d22a9d35c78a

Observation b134669c-86b4-4150-abd2-128c5497525b · inbound

GroupRank: A Groupwise Paradigm for Effective and Efficient Passage Reranking with LLMs cites this paper.

GroupRank: A Groupwise Paradigm for Effective and Efficient Passage Reranking with LLMs HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:42:13.034968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-17T23:41:47.052697Z digest=sha256:f5234f8176bb473359c366cb10dff0d9c5f48f602e346a89c05fb2bbc42bcbd4

Observation 6a3a2c9d-a5ce-4e5c-8e1b-876e0b73d67a · inbound

EviProp: Seeded Relevance Diffusion on Chunk-Page Graphs for Long Multimodal Document Retrieval cites this paper.

EviProp: Seeded Relevance Diffusion on Chunk-Page Graphs for Long Multimodal Document Retrieval HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation

Reference 43

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T03:37:35.709790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-27T15:04:30.757297Z digest=sha256:3f5d8edbd92f4c71c4f112d28e02243169c1ec87da8f72bc1d1a82b8ae668855

Observation 8fbe1941-3538-44bb-bd79-53e16ecdb974 · inbound

SemFlowRAG: Directed Semantic Flow from Abstraction to Evidence for Complex Reasoning cites this paper.

SemFlowRAG: Directed Semantic Flow from Abstraction to Evidence for Complex Reasoning HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T15:25:48.121831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-30T01:31:23.993255Z digest=sha256:3db090ffc017744d67444938261a7514351f6412b3f4e67fab1b117228c39272