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Paper Citation Record · LEDGER

Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2410.07176.

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

pith.paper-citation-record.v1
2410.07176 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 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 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T23:48:54.046050Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T23:47:27.184944Z

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 d180d0a1-c7eb-4211-a878-ae4a000ee91d · inbound

RbFT: Robust Fine-tuning for Retrieval-Augmented Generation against Retrieval Defects cites this paper.

RbFT: Robust Fine-tuning for Retrieval-Augmented Generation against Retrieval Defects Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-09T23:48:54.046050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T23:48:54.046050Z digest=sha256:f120b54652ca41b70c88ec17ea10f217d1fd0410baa70ce2d7e1db8040c29781

Observation 1ebebb55-e82c-4aaf-ad72-7dfc0cfc93c2 · inbound

Position: Towards a Responsible LLM-empowered Multi-Agent Systems cites this paper.

Position: Towards a Responsible LLM-empowered Multi-Agent Systems Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-09T15:13:39.503863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T15:13:39.503863Z digest=sha256:cbd2add456a97470356ed3ed155ce1aeb19fcc1892580d3dc85dc3c21258e6c2

Observation bb6cfa74-840c-4a20-ab11-31254aa7f71a · inbound

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks cites this paper.

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:41.009889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:41.009889Z digest=sha256:432e15c04aa98b8ab82338fa65067082d6e585b86610b4be798a234cc4752a02

Observation b094a397-d9c0-48d4-9396-90462ab27fff · inbound

Benchmarking Poisoning Attacks against Retrieval-Augmented Generation cites this paper.

Benchmarking Poisoning Attacks against Retrieval-Augmented Generation Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:58.813809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:32:58.813809Z digest=sha256:459f9b908120751cd5860c8cf97ada92d80e6f503a54b132bc1a1b2febf5b72f

Observation f9a7e039-e948-49c3-8bef-31b2fcf18efb · inbound

Gaussian mixture models as a proxy for interacting language models cites this paper.

Gaussian mixture models as a proxy for interacting language models Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-19T11:57:16.415183Z

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=2026-05-19T11:53:28.278150Z digest=sha256:dda0be7320e428c7b4e8101aaac59faffc0f8d76fd24d0e0b4ebcf95e46e90c1

Observation 543080e8-9b1e-4a16-b4ac-dae24a624088 · inbound

RAGtifier: Evaluating RAG Generation Approaches of State-of-the-Art RAG Systems for the SIGIR LiveRAG Competition cites this paper.

RAGtifier: Evaluating RAG Generation Approaches of State-of-the-Art RAG Systems for the SIGIR LiveRAG Competition Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T00:23:11.094852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:23:11.094852Z digest=sha256:909bf1f3bf705f03cbb2f51a201ac04fc548c0330a977fe5033f19444c811d1f

Observation 3186f9cc-b7c1-43db-ab87-14b5adde18f6 · inbound

CrEst: Credibility Estimation for Contexts in LLMs via Weak Supervision cites this paper.

CrEst: Credibility Estimation for Contexts in LLMs via Weak Supervision Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T00:15:25.806939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:15:25.806939Z digest=sha256:881cfbad11af877747e135025c5e41fcbb7e1832274735a089a1b17dac2bf398

Observation 0669259f-f1cc-4999-8fdd-576726dbf9d6 · inbound

Generating Privacy Stories From Software Documentation cites this paper.

Generating Privacy Stories From Software Documentation Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T21:58:20.124849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:58:20.124849Z digest=sha256:90fb34f5699b769d08ff14f2019c2ec073b8c57579ef245b8418b508cd957e9f

Observation b24b84d3-14bf-4fc4-a52a-883725a6c854 · inbound

HierSearch: A Hierarchical Enterprise Deep Search Framework Integrating Local and Web Searches cites this paper.

HierSearch: A Hierarchical Enterprise Deep Search Framework Integrating Local and Web Searches Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-05T21:44:12.791732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:44:12.791732Z digest=sha256:5a725f69c6f49bfc2aebd79d1efd5928df18eda36e511d552015969c3c06236c

Observation 82858c4b-aebd-421e-b5a4-4487e1f2e988 · inbound

Progressive Multimodal Search and Reasoning for Knowledge-Intensive Visual Question Answering cites this paper.

Progressive Multimodal Search and Reasoning for Knowledge-Intensive Visual Question Answering Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-18T20:06:49.839060Z

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=arxiv_source observed=2026-05-18T20:04:52.852253Z digest=sha256:b036da6e2bcbf651a0aa96f43be482b818c0a3dbc93dbe6b6bd37b5518863f0f

Observation 067f07ba-c2d1-4999-b8fd-8a368ca03e8b · inbound

Learning to Trust: Dynamic Utilization of Retrieval-Augmented Generation for E-commerce Search Relevance cites this paper.

Learning to Trust: Dynamic Utilization of Retrieval-Augmented Generation for E-commerce Search Relevance Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-18T08:11:07.168737Z

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=2026-05-18T08:06:23.479875Z digest=sha256:7a3843b5bfb1ce726cff8bfcccfc047803bc03e11fb0b1b0bb90c50be0773763

Observation 5a2e2d3c-e26f-4d99-b547-f918da20768d · inbound

Towards Dependable Retrieval-Augmented Generation Using Factual Confidence Prediction cites this paper.

Towards Dependable Retrieval-Augmented Generation Using Factual Confidence Prediction Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:40:42.799384Z

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=2026-05-08T18:12:03.536656Z digest=sha256:dc9cf697989022708fde29e139efc803f9fba53640177ba7880fe6db01cf8a48

Observation 40d896df-fb89-4d13-a5d0-a72bcf360970 · inbound

Does RAG Know When Retrieval Is Wrong? Diagnosing Context Compliance under Knowledge Conflict cites this paper.

Does RAG Know When Retrieval Is Wrong? Diagnosing Context Compliance under Knowledge Conflict Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:03:28.754728Z

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=2026-05-15T02:03:23.662430Z digest=sha256:caae5a6e8c5a52b19373b814c911b6f4ba37a7038a47a47d8a23d8fcd1ef9dba

Observation 8d5d77c9-99e8-4d8a-af0f-de98420c50f4 · inbound

Does RAG Know When Retrieval Is Wrong? Diagnosing Context Compliance under Knowledge Conflict cites this paper.

Does RAG Know When Retrieval Is Wrong? Diagnosing Context Compliance under Knowledge Conflict Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-19T16:42:39.897228Z

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=2026-05-19T16:38:32.946287Z digest=sha256:57a393c70fc56d29c6bf51c3a478040cdf25202ec8c16852437b73cb459ec309

Observation b561fc22-0b33-484c-a94e-fc0b001f3d64 · inbound

Agent System Operations: Categorization, Challenges, and Future Directions cites this paper.

Agent System Operations: Categorization, Challenges, and Future Directions Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-07-02T01:16:24.902375Z

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=2026-06-28T12:14:21.322860Z digest=sha256:d17303de7eaa1e1d2547242b455d59363e35879507c685dbdbf849241ef9ed0d

Observation bd5c33fa-2707-45cb-bfd0-f6397201c9c7 · inbound

PRA-RAG: Provably Robust Aggregation in Retrieval-Augmented Generation against Retrieval Corruption cites this paper.

PRA-RAG: Provably Robust Aggregation in Retrieval-Augmented Generation against Retrieval Corruption Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models

Reference 124

Resolution
verified exact
arxiv_id, observed 2026-07-02T23:47:27.186571Z

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=arxiv_source observed=2026-07-02T23:42:23.695930Z digest=sha256:62280cc6e3368575976d14677a751e9c53ee3c0e867f964ae035f667b081b41d

Observation 25715357-4196-495c-bdbb-ef85e0b16aa9 · inbound

Information Discernment in Large Language Models cites this paper.

Information Discernment in Large Language Models Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-02T13:26:26.999822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:26:26.999822Z digest=sha256:21a10a5ea05c569bc88a575c0e9015694510e3747b9f9aa882b8114cf67b9bda