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Paper Citation Record · LEDGER

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution

As of 19 August 2026, this Paper Citation Record lists 88 of 88 outbound references and 1 inbound Pith citation observation for arXiv:2607.05069.

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

pith.paper-citation-record.v1
2607.05069 v1

Coverage vector

measured 88 of 88 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T09:17:31.040524Z

measured 89 of 89 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T09:11:36.225135Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

88 of 88 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved85
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7a07bf6a-ad3c-4aed-af25-7baae85cb28b · outbound

This paper cites Retrieval-Augmented Generation for.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Retrieval-Augmented Generation for

Reference 1

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no resolver link, observed 2026-07-11T09:17:31.040524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:e2ccd613664bbf6405aef25b5c3f38ba803900e7e12a6bb4aad3ee96d5d6e779

Observation db0b4299-3b26-4743-9cd8-4f9cf81e8cfd · outbound

This paper cites 2024 , publisher =.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution 2024 , publisher =

Reference 2

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no resolver link, observed 2026-07-11T09:17:31.040524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:f4a1ce36f6aea9cc2b7ede95d7d3ed516f7816d4f82a4e27d351849573e5a810

Observation bacd9a48-3afd-4640-a8b9-2458b2c010ec · outbound

This paper cites Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , series =.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , series =

Reference 3

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no resolver link, observed 2026-07-11T09:17:31.040524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:f4b44c0141b463ba534ce71974129d1fbb4aba2c4db187b5ca3cec21eaadf865

Observation a4bd67d4-3908-4fb6-b806-063df9550800 · outbound

This paper cites ArXiv preprint , volume =.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution ArXiv preprint , volume =

Reference 4

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no resolver link, observed 2026-07-11T09:17:31.040524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:e58ca90d1502a08d43106bd7d3fd0db93baaa7a9a69d66c4f5f6b25bb333e040

Observation d89a14cd-87db-43af-8d76-45b69ac52cc1 · outbound

This paper cites Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) , series =.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) , series =

Reference 5

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unresolved
no resolver link, observed 2026-07-11T09:17:31.040524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:0390dd647971f5a0f6f3f5f40b6753c2b5f5a5e294eb833503ba1998f7f83d65

Observation 58ad9662-0b9a-4c5c-9000-cc5dfedcfdb5 · outbound

This paper cites Findings of the Association for Computational Linguistics: EMNLP 2023 , series =.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Findings of the Association for Computational Linguistics: EMNLP 2023 , series =

Reference 6

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unresolved
no resolver link, observed 2026-07-11T09:17:31.040524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:c8fc3b1e6de0233f03bf293d3b0dd30e9975606d061ff3481405e94e21a6f8da

Observation 4c6083c1-eb3d-46e3-853f-ca2772fbb024 · outbound

This paper cites and Smith, Noah A.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution and Smith, Noah A

Reference 7

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unresolved
no resolver link, observed 2026-07-11T09:17:31.040524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:4a5443415e0c1ddd395f1ed1e821c7813714623c1bf8382513ff776b4d345348

Observation 9f9a64eb-38d0-4e3b-9d89-a51b9747c257 · outbound

This paper cites Findings of the Association for Computational Linguistics: ACL 2024 , series =.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Findings of the Association for Computational Linguistics: ACL 2024 , series =

Reference 8

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no resolver link, observed 2026-07-11T09:17:31.040524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:b47de543c12ffd7a97d5a55b4bf84e1be6e7c072ba7ca284890465d9ca6b9221

Observation 64fc69b2-dbca-4095-a7f9-b4de3b9f5ec4 · outbound

This paper cites Findings of the Association for Computational Linguistics: EMNLP 2023 , series =.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Findings of the Association for Computational Linguistics: EMNLP 2023 , series =

Reference 9

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unresolved
no resolver link, observed 2026-07-11T09:17:31.040524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:1bad90010cef810ee8f468a0dad0df58222cf4d164229892d84b488b7d4104f2

Observation f978ebef-0721-4cd3-8f3f-d09b2b08cffe · outbound

This paper cites Findings of the Association for Computational Linguistics: NAACL 2024 , series =.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Findings of the Association for Computational Linguistics: NAACL 2024 , series =

Reference 10

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unresolved
no resolver link, observed 2026-07-11T09:17:31.040524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:c2e9d0810753166a10c057aebaa7267b587adf6f0219887996e4fa809349b12f

Observation 5c3f1595-ff66-4068-9660-2800b0db1c2f · outbound

This paper cites Findings of the Association for Computational Linguistics: NAACL 2024 , series =.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Findings of the Association for Computational Linguistics: NAACL 2024 , series =

Reference 11

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unresolved
no resolver link, observed 2026-07-11T09:17:31.040524Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:40d23149a4c86ab1d1e9464c0f542dd9f9ea9e39b4a7a5d9ce8aa2d842ea1a88

Observation 798ecb12-31e4-4f30-be0f-c8f0287df02f · outbound

This paper cites ArXiv preprint , volume =.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution ArXiv preprint , volume =

Reference 12

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no resolver link, observed 2026-07-11T09:17:31.040524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:c849aaa341a2d8530fb33f926a07456c24bd868de54afb3df630e50bc3da7d37

Observation 181b7a4f-8df3-48c0-a154-45dfabe9f653 · outbound

This paper cites 2020 , publisher =.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution 2020 , publisher =

Reference 13

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no resolver link, observed 2026-07-11T09:17:31.040524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:c510f14a24f1d89aed4e3fbfc1612f9e3aac5c1287fc22a267688fd7b7c08fc9

Observation f053dcfd-2d1a-4ce7-a45b-1de79fe3c64f · outbound

This paper cites Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , series =.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , series =

Reference 14

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no resolver link, observed 2026-07-11T09:17:31.040524Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:4ea42382e34dc4eea68e38c4d6c7935998c03dff05a69b0bb5577043359c1079

Observation 2ce4d5da-04a4-469c-8506-1ce98d4237c9 · outbound

This paper cites On the Structural Memory of.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution On the Structural Memory of

Reference 15

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no resolver link, observed 2026-07-11T09:17:31.040524Z

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:282b359d947cb6224c7819f522e3b87f22528a6c627174f6fba5567884b0570f

Observation 00715289-b1ef-42ee-87c4-f226db0cba8f · outbound

This paper cites Proceedings of the International Conference on Learning Representations , series =.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Proceedings of the International Conference on Learning Representations , series =

Reference 16

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no resolver link, observed 2026-07-11T09:17:31.040524Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:00d8008cd8d03666fd387d243c3eee1ca69304eff45cb1e75596233b593a71c9

Observation 846de73a-8fd8-4309-a8e4-7829d3afafa3 · outbound

This paper cites Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , series =.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , series =

Reference 17

Resolution
unresolved
no resolver link, observed 2026-07-11T09:17:31.040524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:68a8e81d379ad896619419839f92cdab5f8283976ce6386680035c9d2a86642b

Observation ef5e92f3-5e44-4a25-880c-a462377f7468 · outbound

This paper cites ArXiv preprint , volume =.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution ArXiv preprint , volume =

Reference 18

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no resolver link, observed 2026-07-11T09:17:31.040524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:a219f349dfea2b3b46e54bf4af10b196d42bdcc83e28f0deda2441414cdfc026

Observation 9a73ed8f-75e1-4956-a5b4-b8bd758412c4 · outbound

This paper cites Findings of the Association for Computational Linguistics: ACL 2024 , series =.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Findings of the Association for Computational Linguistics: ACL 2024 , series =

Reference 19

Resolution
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no resolver link, observed 2026-07-11T09:17:31.040524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:eafc53296344458994d81c9583a336aeeca09461844c2efdeb23a5197542ea94

Observation 9954cb3c-4e85-465b-adce-879d6e43b4bb · outbound

This paper cites Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , series =.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , series =

Reference 20

Resolution
unresolved
no resolver link, observed 2026-07-11T09:17:31.040524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:2bcf799f67b9bfba803e82c90ecb77dd830af714305e14ec57898f7bf3f62584

Observation 3c5e1037-9a66-4964-9a5e-65e739038942 · outbound

This paper cites Advances in Neural Information Processing Systems , series =.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Advances in Neural Information Processing Systems , series =

Reference 21

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no resolver link, observed 2026-07-11T09:17:31.040524Z

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:0c3487ba89b7fe1ea751592f6bbeb5fa0c7357d81e4d6cdd98ad07ec505a5d1d

Observation 75d556cf-d1a3-4e07-a9d2-a3a23494ea8c · outbound

This paper cites Proceedings of the Conference on Language Modeling , series =.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Proceedings of the Conference on Language Modeling , series =

Reference 22

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no resolver link, observed 2026-07-11T09:17:31.040524Z

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:4f980bdfa2c01dbd23de633cf8ad171cd8b2c067fd2c78330a604a12720c9458

Observation 24cd9ad6-4699-439b-bf2e-1403497b33ad · outbound

This paper cites and Hashimoto, Tatsunori B.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution and Hashimoto, Tatsunori B

Reference 23

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no resolver link, observed 2026-07-11T09:17:31.040524Z

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:d8fd5fbd8156281793a41969d7e2331dd7e14bc2c7933acfeead5d0cd136c934

Observation ba65945b-50f0-4562-bc5d-b34e5c3d3a93 · outbound

This paper cites Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , series =.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , series =

Reference 24

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no resolver link, observed 2026-07-11T09:17:31.040524Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:a7e9774279386e5052566969b466f9f2929fead679b8f1c5aa9e1438b649290e

Observation 3bb0618b-cfb1-4d11-b1ea-c3b59b113944 · outbound

This paper cites ArXiv preprint , volume =.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution ArXiv preprint , volume =

Reference 25

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no resolver link, observed 2026-07-11T09:17:31.040524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:b039fea9a5b8e4a87ec311df11518c180a6db56fe4bbc51b270be22f68c03732

Observation c25c3c79-3e52-4925-9ef5-fbec991401da · outbound

This paper cites 2023 , publisher =.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution 2023 , publisher =

Reference 26

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no resolver link, observed 2026-07-11T09:17:31.040524Z

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:666df86379bade1d215c17598c067f4b8f7af71310a0bc4c6c23ddf7f52d1ed5

Observation 81dd4382-0425-4bd9-8632-e502d491caa3 · outbound

This paper cites Self-Alignment for Factuality: Mitigating Hallucinations in.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Self-Alignment for Factuality: Mitigating Hallucinations in

Reference 27

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no resolver link, observed 2026-07-11T09:17:31.040524Z

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:5cd2afd5cee9395849e02868fbb00e342c4b49624f890b72998b76d8c7402c11

Observation 422ea3c0-f22d-4b0d-b42c-704f3538c0b1 · outbound

This paper cites Findings of the Association for Computational Linguistics: EMNLP 2024 , series =.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Findings of the Association for Computational Linguistics: EMNLP 2024 , series =

Reference 28

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unresolved
no resolver link, observed 2026-07-11T09:17:31.040524Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:3dc371ba7493379f06c7672a3faee0fcc47c8a81ddb0262e8a2513eb0ed67d34

Observation 68236428-7dcc-4246-a5b0-fb775217eb02 · outbound

This paper cites Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , series =.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , series =

Reference 29

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unresolved
no resolver link, observed 2026-07-11T09:17:31.040524Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:0dd1d0f79935be91e9d74b8e3c1a3ade81471387b440bca9fef175ae759fc05e

Observation 81c89883-4386-4df9-ade5-d00d66d47764 · outbound

This paper cites Findings of the Association for Computational Linguistics: EMNLP 2024 , series =.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Findings of the Association for Computational Linguistics: EMNLP 2024 , series =

Reference 30

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unresolved
no resolver link, observed 2026-07-11T09:17:31.040524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:8ff610bc1da005ac2be3c9fa93c4a11fb0533fa7f08f853e635ef87f44ed50c4

Observation f6c1e5dc-6fd6-4189-b460-b1bf86834235 · outbound

This paper cites Length-Controlled.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Length-Controlled

Reference 31

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no resolver link, observed 2026-07-11T09:17:31.040524Z

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:10b4f5c2c920ab31488e18e1a7af4449468bdb9e43479c0e772049b63d8fa711

Observation a140693f-f411-4b1e-9582-236c2dc34dd4 · outbound

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

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Retrieval-Augmented Generation for Knowledge-Intensive

Reference 32

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no resolver link, observed 2026-07-11T09:17:31.040524Z

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:7c3154ac90fe41db344d6f18cbae2bf0f00649965cbaba052d7bfa1ffb7d7345

Observation 2353cc0d-8f21-4ce4-be3b-61b9d10b1d17 · outbound

This paper cites Proceedings of the 37th International Conference on Machine Learning , series =.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Proceedings of the 37th International Conference on Machine Learning , series =

Reference 33

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no resolver link, observed 2026-07-11T09:17:31.040524Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:9c803f1fea5caec84944d62df5d36f71a23182a75948d1d1aeb6ee63ce04bc25

Observation f1226489-a4a9-445d-8eda-62abbb4c044c · outbound

This paper cites ArXiv preprint , volume =.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution ArXiv preprint , volume =

Reference 34

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no resolver link, observed 2026-07-11T09:17:31.040524Z

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:bf3ab6cf318f8893fc6ba18c7bb9161d360d478bc1da78216b1b4b3814509daf

Observation 4e0c46ae-1349-489e-b77a-de29b7bfaf0c · outbound

This paper cites Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , series =.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , series =

Reference 35

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no resolver link, observed 2026-07-11T09:17:31.040524Z

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:426b729eace659b6404afe3cc7ece4064b7a430f7398f848975e06d0dcb2a3c8

Observation 5d5a61db-d2fb-4a2a-8385-aa36ed93de41 · outbound

This paper cites an unresolved cited work.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Unresolved cited work

Reference 36

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no resolver link, observed 2026-07-11T09:17:31.040524Z

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Observation 95fec5b3-918d-4662-81f1-febe26ea924d · outbound

This paper cites Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , series =.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , series =

Reference 37

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no resolver link, observed 2026-07-11T09:17:31.040524Z

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Observation c2ccc5de-c3e9-4f0c-98d5-e49ed0e27944 · outbound

This paper cites 2025 , url =.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution 2025 , url =

Reference 38

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:e853bd6463b8604a53b4b0e38802b344f675e4edd048861f4b17f1b484408b81

Observation 5f796948-25ea-4827-8a36-1b72627b6184 · outbound

This paper cites Certifiably Robust.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Certifiably Robust

Reference 39

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:09e24f64bb67fde8131e6731b83a42ba7f4acc69c48a5a5182411ef451fa86c1

Observation 421dc119-9000-4ae9-a02d-e9dc93633997 · outbound

This paper cites Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics , series =.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics , series =

Reference 40

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:de3f7a42aee79d915eccf606612e5f223e93fc0e2c71aa905fe0b78d6dea1298

Observation 7ff744b3-4944-4973-8c34-0888f63102e7 · outbound

This paper cites Worse than Zero-shot? A Fact-Checking Dataset for Evaluating the Robustness of.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Worse than Zero-shot? A Fact-Checking Dataset for Evaluating the Robustness of

Reference 41

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:567cccc0d7e3e23538978b1160d7033982ef52b91b5690255542e5378765de75

Observation 693bf6ae-e041-49ff-8285-af4f5bed2b75 · outbound

This paper cites Proceedings of the Conference on Language Modeling , series =.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Proceedings of the Conference on Language Modeling , series =

Reference 42

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:9f79206327318b476e7ffe84a6b2d2676f5bce2237969e531fb13c8bf8b28e3e

Observation a6f9d253-2838-446f-b5bd-d6febaf868cd · outbound

This paper cites , editor =.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution , editor =

Reference 43

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:f034fc30e826fb28cb375ef6411fad7ed86322eca5aac0da4194d4741358a0d2

Observation 563a68c9-2d80-4889-af87-ee1b81ae41e0 · outbound

This paper cites Findings of the Association for Computational Linguistics: ACL 2023 , series =.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Findings of the Association for Computational Linguistics: ACL 2023 , series =

Reference 44

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:464f1145a7c27e206734e11c4581fec701d0c4d894b2a9cacb51d68d5604a0fb

Observation 628c0384-14b9-4a15-85e0-1e148a271a4c · outbound

This paper cites Proceedings of the International Conference on Learning Representations , series =.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Proceedings of the International Conference on Learning Representations , series =

Reference 45

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:ca209623fe45e63875e768f630604158d49a9eb4d77235f12db3915a00fab6ed

Observation da4b4bd3-4c1a-4e6f-8d4c-5768568afdb1 · outbound

This paper cites ArXiv preprint , volume =.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution ArXiv preprint , volume =

Reference 46

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:de08617e68cb1aa066ea93c49f725630d1af71d5cc889927b57f13060c2b3e77

Observation 9ecac441-c187-4062-b8f2-e9679e57e6b0 · outbound

This paper cites 2025 , eprint =.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution 2025 , eprint =

Reference 47

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:15bbab4d621daad4a54c15bed9234fe443844b9b86c7041d36bf9d9ebd192786

Observation e52fe096-da0d-442e-83e8-c471ab37c4c5 · outbound

This paper cites Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) , series =.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) , series =

Reference 48

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:60f9c3345a4dc61f9da0465c249e57214eef96ac295e0ad12bf48ed36ede173f

Observation 50be28b6-e64a-4059-86e4-2cb1ad61d007 · outbound

This paper cites an unresolved cited work.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Unresolved cited work

Reference 49

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:8423d911d6e447e7278389e50428edb879a4e479378001700cc90ad47aab8d7e

Observation b4072179-9ccd-4ebe-a3a0-938d1018b3a7 · outbound

This paper cites an unresolved cited work.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Unresolved cited work

Reference 50

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:8f767c9f01e0747927f98b39ad55f886cc297af6653700f70d9ea82d1a60771e

Observation cf44ebed-3fb0-442f-a02d-1799552f3c19 · outbound

This paper cites 2021 , url =.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution 2021 , url =

Reference 51

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:7be30eb8616da57992f83b9c636aebf6aa64f70979f1cb9932440c0db1d7840c

Observation adbfff8d-a914-43be-acd2-a319882404ab · outbound

This paper cites 2025 , eprint =.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution 2025 , eprint =

Reference 52

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:0eb0d759efb7e3a1e3a0be156b0d07ac67dc0354fc3e3f616447c510111993b1

Observation 1e99ff86-8ce5-478d-9088-a855c1e15e53 · outbound

This paper cites 2019 , eprint =.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution 2019 , eprint =

Reference 53

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:114c7ee1652dbf339dd6b471674ca060c425cd8721a39548769ba1506bbd5c5e

Observation f576e9bc-233e-4587-88d6-a6e991f63310 · outbound

This paper cites Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics , series =.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics , series =

Reference 54

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:cca2eceeb1992e1e0bf327f450f42a9612d89ef3b4f6426497066b77a0f99245

Observation b4f88cc8-659f-49b2-ab2c-b241792d3d01 · outbound

This paper cites Findings of the Association for Computational Linguistics: EMNLP 2025 , series =.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Findings of the Association for Computational Linguistics: EMNLP 2025 , series =

Reference 55

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:f7775e6a4134a41ec93fef036ad8b7bf61694de845d3c02ba699ecf671b893db

Observation 9a26b0e5-acd0-4ed7-b811-8f0eb8e5360f · outbound

This paper cites Findings of the Association for Computational Linguistics: EMNLP 2025 , series =.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Findings of the Association for Computational Linguistics: EMNLP 2025 , series =

Reference 56

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:f010e33f51903ebf6baf22f7c246e17e1b8a4848e8c565af25cb74f3632c8923

Observation bc15499f-4478-4837-a0a3-8aa420928736 · outbound

This paper cites Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) , series =.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) , series =

Reference 57

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:08bc9fe1be048f233a0fb7cf282be794aa20f7b82aabf5cde40eeebbb30acb3d

Observation 6ead5ad8-c92b-41a6-a929-4dfdf6280720 · outbound

This paper cites an unresolved cited work.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Unresolved cited work

Reference 58

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:9d2cac9de973f8cd4881ff81b727048dac5746dad5ef06c2dcdc8c2156e2d94b

Observation 2f1cd032-bc91-4dd3-bda4-eba55879e9a8 · outbound

This paper cites Trust Before Fusion:.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Trust Before Fusion:

Reference 59

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:be5abd6d99e47c3782af58206caaaede89fa538825d2f2113279b95c8eea0810

Observation 1a11d036-f849-419f-a327-f7c4dc4af20f · outbound

This paper cites an unresolved cited work.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Unresolved cited work

Reference 60

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:e0148b35783b7e1b5bb988f73fe1401d564d6455f70470ca8e53995424a4e582

Observation 54921353-21fb-4e1f-be6b-8aa7e0142e71 · outbound

This paper cites an unresolved cited work.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Unresolved cited work

Reference 61

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verified exact
doi, observed 2026-07-11T09:17:55.835323Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:fdef2fac35c98947842036d38c7bcf1c1dbfd352b0f28584d612e76536b9429c

Observation 858de3dd-4e30-442d-a3ab-059245be95ec · outbound

This paper cites an unresolved cited work.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Unresolved cited work

Reference 62

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:5c4067c444691fe06368eb9839317331e8694b399e7da508620e3045ec0a036c

Observation d4e068ae-437f-477e-acd2-9ed9c13749e2 · outbound

This paper cites Liang, and Tatsunori B.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Liang, and Tatsunori B

Reference 63

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:cc307c954a907c8dc9081730a76917e015f94664d1f5d643dbcb8ff5d14065d9

Observation 73f0ef50-143e-43a4-b1e2-ea7ec71b36ca · outbound

This paper cites an unresolved cited work.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Unresolved cited work

Reference 64

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:0fa394b4408b53259640b9a335c4d071942c9e06adfa21119c4031b9d101b88d

Observation d1c8483d-1557-4355-b35e-e1f6c3448467 · outbound

This paper cites The Llama 3 Herd of Models.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution The Llama 3 Herd of Models

Reference 65

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:af07150e03c609ac93e65d7624d91605c9f15db25b02691a91507305fab19aa4

Observation 84db175a-c3de-4020-8988-cf5ddc5ea714 · outbound

This paper cites an unresolved cited work.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Unresolved cited work

Reference 66

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:a0ec09dc4a58675f5cb15695ed9b1b0b406362dcc9db64168c3d4d7321e48e7e

Observation ec46315b-9d74-4244-80a6-81380dc54fa7 · outbound

This paper cites Mistral 7B.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Mistral 7B

Reference 67

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:9cae995f00a6c6493763a2b90ddcc2786cd86e7396155f8b85927e24ddb428d8

Observation e974f596-6e4b-449b-8285-e220e73bcdac · outbound

This paper cites Xu, Luyu Gao, Zhiqing Sun, Qian Liu, Jane Dwivedi-Yu, Yiming Yang, Jamie Callan, and Graham Neubig.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Xu, Luyu Gao, Zhiqing Sun, Qian Liu, Jane Dwivedi-Yu, Yiming Yang, Jamie Callan, and Graham Neubig

Reference 68

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:e92236668491dc1b244a76fb706702962d35292152abc04318b46f0a84692718

Observation f41db6bc-3980-44e0-97e7-ba9b5f12b372 · outbound

This paper cites an unresolved cited work.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Unresolved cited work

Reference 69

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:e6b0461b86e34db7fb152e7dbec98f62f1575616b6e541e19ecdce112a9ed8e4

Observation 27feb0e5-a0a5-4631-8105-c494c5d6dc1d · outbound

This paper cites an unresolved cited work.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Unresolved cited work

Reference 70

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:8e73e873ef4bc3d891a43899276890a6078b1f861290c2556afcee326bdd245d

Observation dc12ba6e-d8e0-4c08-971e-4cc3b56ed22a · outbound

This paper cites an unresolved cited work.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Unresolved cited work

Reference 71

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:3ef9055c4c0c2cc1b57bcfcf39c7852ade07770cce858aad9bc38e5ca2cbdb4d

Observation ee78910a-5621-4cfd-bff1-f3dc2b407a18 · outbound

This paper cites an unresolved cited work.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Unresolved cited work

Reference 72

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:784c6bbbe074cadd5cee2a07fd3424281888b205851e38dc5c08c2f68f74a150

Observation 1c95172f-b3f4-402c-81e6-9ca93936a524 · outbound

This paper cites an unresolved cited work.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Unresolved cited work

Reference 73

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:906f5f24e332737ccb23ffe83e1c64b9d03cd4008b3e18213af3c2d588a2a994

Observation f62d8dff-d9a8-4d5f-bd17-3a4ae4a7aa06 · outbound

This paper cites an unresolved cited work.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Unresolved cited work

Reference 74

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verified exact
doi, observed 2026-07-11T09:17:55.805322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:da7d1e9edace3e2247f688849d06903951fe57ee848845f35fe948eddf9da276

Observation 9453cfa5-d8ad-466a-89bd-466b81a15ea7 · outbound

This paper cites an unresolved cited work.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Unresolved cited work

Reference 75

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:3a07c1ee99b31279fd1a6a1b35616d0841c5b9cefb62b1d55cae31cae2bdace1

Observation 1d4babb3-50ac-4706-a980-275b6b1a83ac · outbound

This paper cites an unresolved cited work.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Unresolved cited work

Reference 76

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:9716cb09bf0f766d6b00f7eae56d71c70ae066c27b3725703d7d83c2d387ff6c

Observation ce22f46b-9956-4f7e-b816-f959a1ac8144 · outbound

This paper cites an unresolved cited work.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Unresolved cited work

Reference 77

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:197602c21bbc09ee4fa4deba0de7c878e4f00b0f8b70c240c270b4c670974823

Observation cd502ce3-8234-42ff-8bab-9860e3921fa4 · outbound

This paper cites an unresolved cited work.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Unresolved cited work

Reference 78

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:ba13a766ca9bc195e4237ed6049fd44338b39c955097097397d15ce62e4205b8

Observation 4e699804-d1c2-491e-93ac-73f5f8734866 · outbound

This paper cites an unresolved cited work.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Unresolved cited work

Reference 79

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unresolved
no resolver link, observed 2026-07-11T09:17:31.040524Z

Source-reported events for the cited work

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Observation 42c1abf5-dfda-414f-af67-570fb59b28a0 · outbound

This paper cites an unresolved cited work.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Unresolved cited work

Reference 80

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no resolver link, observed 2026-07-11T09:17:31.040524Z

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:6237f2b2cad724e1dbec8fe61c8b22975579e0dcefcd8642539cb2eaeaa9409e

Observation d8d2f26f-080b-40cb-9c8f-8f9a5dada8d2 · outbound

This paper cites an unresolved cited work.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Unresolved cited work

Reference 81

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unresolved
no resolver link, observed 2026-07-11T09:17:31.040524Z

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:f59e13c694fbcd88f27cb462d70b3c99dde722baad2ade9ab2a696ed57e33442

Observation 957d9c27-ffda-45ef-898f-2a9d1a0ee403 · outbound

This paper cites an unresolved cited work.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Unresolved cited work

Reference 82

Resolution
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no resolver link, observed 2026-07-11T09:17:31.040524Z

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:05c2771841ea02b268df4cfd3d5860ac48daed5d6d91a6e3aa59de3a2b721edc

Observation 9252c0e8-d98b-4b9b-9498-5aa78f8c1cf2 · outbound

This paper cites an unresolved cited work.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Unresolved cited work

Reference 83

Resolution
unresolved
no resolver link, observed 2026-07-11T09:17:31.040524Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:02f5a1ae7801ac421ae91f5367738787501de1cb09794324270b35a33ab417d2

Observation 4fd42cd3-3a44-4ce7-90c1-54545e3ab9c9 · outbound

This paper cites Qwen3 Technical Report.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Qwen3 Technical Report

Reference 84

Resolution
unresolved
no resolver link, observed 2026-07-11T09:17:31.040524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:4e3888111eed7fc7c6624044c67eb41a9825dd9c56150ef93a322a1716f861da

Observation 2fbd0d07-a712-44bf-b23c-107b93a91f94 · outbound

This paper cites an unresolved cited work.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Unresolved cited work

Reference 85

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unresolved
no resolver link, observed 2026-07-11T09:17:31.040524Z

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:2e44874c2f8a5719693240f699b89d0f3580f4ca9f29ea5f187e9b01f6628b35

Observation 6d8ceb59-3a4b-4bee-87fb-f8720b4902f9 · outbound

This paper cites an unresolved cited work.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Unresolved cited work

Reference 86

Resolution
unresolved
no resolver link, observed 2026-07-11T09:17:31.040524Z

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:79186cb326bc376ab09b7db12eb26e2eadf2cd8fae802a1aa682e549f51ebdf2

Observation b8602020-1bac-4b0e-99bc-54c1b02f7b14 · outbound

This paper cites an unresolved cited work.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution Unresolved cited work

Reference 87

Resolution
unresolved
no resolver link, observed 2026-07-11T09:17:31.040524Z

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:eab09d3ec084993c17447405412593df67ad2b1ddd0a1ba818bfdbdaddf83cd4

Observation 10270b79-e22d-46c3-8fb1-d27f6a43bf44 · outbound

This paper cites TrustRAG: Enhancing Robustness and Trustworthiness in Retrieval-Augmented Generation.

MIRAGE: Defending Long-Form RAG Against Misinformation Pollution TrustRAG: Enhancing Robustness and Trustworthiness in Retrieval-Augmented Generation

Reference 88

Resolution
unresolved
no resolver link, observed 2026-07-11T09:17:31.040524Z

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source=arxiv_source observed=2026-07-11T09:17:31.040524Z digest=sha256:904d900377cf6b2d239c83e23998afdaf2d888883741005355f8194f531cff68

Pith citing papers

Observation 432db8cf-e566-4bf5-8443-e0986e6a1afa · inbound

Trust Before Fusion: QIMG-7 and Source-Aware Resolution for Polluted Multimodal RAG cites this paper.

Trust Before Fusion: QIMG-7 and Source-Aware Resolution for Polluted Multimodal RAG MIRAGE: Defending Long-Form RAG Against Misinformation Pollution

Reference 2

Resolution
unresolved
no resolver link, observed 2026-07-14T09:11:36.225135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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