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Paper Citation Record · LEDGER

MIDAS: Multi-LLM Iterative Data-Adaptive Summarization

As of 14 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2608.04307.

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

pith.paper-citation-record.v1
2608.04307 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:09:41.869145Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

31 of 31 outbound references displayed

  • verified exact2
  • verified fuzzy13
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e9ee2872-4e4e-46c9-ad67-cee2ee93ac68 · outbound

This paper cites Dataset, Kaggle (2026), https://www.kaggle.com/datasets/tobiasbueck/multilingual-customer-support- tickets.

MIDAS: Multi-LLM Iterative Data-Adaptive Summarization Dataset, Kaggle (2026), https://www.kaggle.com/datasets/tobiasbueck/multilingual-customer-support- tickets

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T20:09:42.532984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 5ec2fda8-4db2-4364-b440-a7ae751049dd · outbound

This paper cites LLM Prompt Duel Optimizer: Efficient Label-Free Prompt Optimization.

MIDAS: Multi-LLM Iterative Data-Adaptive Summarization LLM Prompt Duel Optimizer: Efficient Label-Free Prompt Optimization

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-08T20:09:41.765014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:09:41.765014Z digest=sha256:77d2911ed85e4235957c0a6f2da6125d4834223c0aebcb419c1aad243c82f895

Observation b517aaba-2527-40c8-bf13-e2b6129e52d9 · outbound

This paper cites Technical report, Forrester Consulting (2023).

MIDAS: Multi-LLM Iterative Data-Adaptive Summarization Technical report, Forrester Consulting (2023)

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T20:09:42.522886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T20:09:41.769012Z digest=sha256:a119d3fbd4e93c90816cdc6efde4237e3d32fa85ababc739d9f515a84ad67c86

Observation a1cbc839-f12d-4b51-80ec-c6925a68e1d8 · outbound

This paper cites In: Proceedings of the International Conference on Learning Representations (ICLR) (2024).

MIDAS: Multi-LLM Iterative Data-Adaptive Summarization In: Proceedings of the International Conference on Learning Representations (ICLR) (2024)

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T20:09:42.512465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T20:09:41.772389Z digest=sha256:ead0698bace36a1f5a3b18d5ec596b89ed6e487c6509107661a661f98a8bf5ab

Observation 6058665d-e824-4cc8-a963-82bfc238b6fd · outbound

This paper cites In: AAAI Conference on Artificial Intelligence (2024), https://api.semanticscholar.org/CorpusID:273098751.

MIDAS: Multi-LLM Iterative Data-Adaptive Summarization In: AAAI Conference on Artificial Intelligence (2024), https://api.semanticscholar.org/CorpusID:273098751

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T20:09:42.501983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T20:09:41.776001Z digest=sha256:b68d5366bc2586e55b92ee588964e982eec11f0f9d3ffaa624eb097140f6ebee

Observation 2d90df4b-8748-4327-93ae-0c17bcb5deb0 · outbound

This paper cites In: Proceedings of the KDD Workshop on Generative AI for Recommendation and Personalization (GenAIRecP) (2024).

MIDAS: Multi-LLM Iterative Data-Adaptive Summarization In: Proceedings of the KDD Workshop on Generative AI for Recommendation and Personalization (GenAIRecP) (2024)

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T20:09:42.491393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T20:09:41.779780Z digest=sha256:caf2a1f8af92dbe8516dfcc93936c90d70db38b6af95dc65c772d0a25d0d0d21

Observation 1f70f720-9744-4457-b1c9-315c59d142d9 · outbound

This paper cites In: Text Summarization Branches Out.

MIDAS: Multi-LLM Iterative Data-Adaptive Summarization In: Text Summarization Branches Out

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T20:09:42.481520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T20:09:41.783483Z digest=sha256:bd3e79cead89382c083220d5d713d98d518dfbccd3a72a333476f5db91e7263d

Observation b994860f-b4aa-4d98-bf41-b530a74caf11 · outbound

This paper cites In: Annual Meeting of the Association for Computational Linguistics (2004), https://api.semanticscholar.org/CorpusID:964287.

MIDAS: Multi-LLM Iterative Data-Adaptive Summarization In: Annual Meeting of the Association for Computational Linguistics (2004), https://api.semanticscholar.org/CorpusID:964287

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T20:09:42.471322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T20:09:41.786602Z digest=sha256:c552230b2cdfa71c07b53cd3e016189752c2eb9abe8999fa9bd99e24a8454568

Observation 25183148-2650-4a06-a0c7-7bb9f2de9845 · outbound

This paper cites A Comparative Study of Quality Evaluation Methods for Text Summarization.

MIDAS: Multi-LLM Iterative Data-Adaptive Summarization A Comparative Study of Quality Evaluation Methods for Text Summarization

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-08T20:09:41.790404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:09:41.790404Z digest=sha256:e8dcf98d18d92ce9c93055f7488416de63a9ed2fe7f1290f21135cc3e4001355

Observation 151c5fe8-b8e7-467a-9655-de08273f2705 · outbound

This paper cites arXiv preprint arXiv:2407.05033 (2024).

MIDAS: Multi-LLM Iterative Data-Adaptive Summarization arXiv preprint arXiv:2407.05033 (2024)

Reference 10

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no resolver link, observed 2026-08-08T20:09:41.793763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:09:41.793763Z digest=sha256:344ca653d89394ab883f50005b4f61e1fa8f6cfdd0892e301a46b7f47d3d4acc

Observation 0080ebaf-2183-4f3e-a91a-d1fc8d9f07e1 · outbound

This paper cites Integrating Summarization and Retrieval for Enhanced Personalization via Large Language Models.

MIDAS: Multi-LLM Iterative Data-Adaptive Summarization Integrating Summarization and Retrieval for Enhanced Personalization via Large Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-08T20:09:41.797465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:09:41.797465Z digest=sha256:5f5cfdbd3929aef31cfc1162905cf1fbc95e1b320a7074473aff27783552d729

Observation 2904d505-9a92-479d-9d0a-5ee94b219fd6 · outbound

This paper cites In: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL).

MIDAS: Multi-LLM Iterative Data-Adaptive Summarization In: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL)

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T20:09:42.461503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T20:09:41.800882Z digest=sha256:cadd52b672a1e748766a00f321768e603c0134fc9eab9828c083573d2151c4e9

Observation a5b3620c-fa9e-4239-9cd0-b5b4669991fa · outbound

This paper cites arXiv preprint arXiv:2505.16307 (2025).

MIDAS: Multi-LLM Iterative Data-Adaptive Summarization arXiv preprint arXiv:2505.16307 (2025)

Reference 13

Resolution
verified exact
raw_fallback, observed 2026-08-08T20:09:42.208161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T20:09:41.804009Z digest=sha256:d1560b07c93199188b224e5994f36b05e4285cc4975dd591290ef2813b590f3d

Observation de39894e-ae3f-4b91-96a7-d034c116a7bf · outbound

This paper cites arXiv preprint arXiv:2506.05305 (2025).

MIDAS: Multi-LLM Iterative Data-Adaptive Summarization arXiv preprint arXiv:2506.05305 (2025)

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-08T20:09:41.807461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:09:41.807461Z digest=sha256:d17407522b4f53e81862267a62e9dee851f56fecc7acc0c372f4e539aa98c0f6

Observation c3900f73-bae3-4089-bb8e-478e215b5889 · outbound

This paper cites In: Proceedings of the Advances in Neural Information Pro- cessing Systems (NeurIPS).

MIDAS: Multi-LLM Iterative Data-Adaptive Summarization In: Proceedings of the Advances in Neural Information Pro- cessing Systems (NeurIPS)

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T20:09:42.450963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T20:09:41.810497Z digest=sha256:c0c7c83370d98b4a88baca7fa4b8cc2d7bf72fa5291a0f61e11cbe4f24275d74

Observation c810eff6-db50-457f-9905-8325596f16fc · outbound

This paper cites arXiv preprint arXiv:2509.18158 (2025).

MIDAS: Multi-LLM Iterative Data-Adaptive Summarization arXiv preprint arXiv:2509.18158 (2025)

Reference 16

Resolution
verified exact
raw_fallback, observed 2026-08-08T20:09:42.057479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T20:09:41.814358Z digest=sha256:eb4829d971d3e3dc82f91bd249e86e8d14a7663654382e3d2b83c8961239e780

Observation 036308a8-c992-4555-8a16-b11fffd8d68f · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

MIDAS: Multi-LLM Iterative Data-Adaptive Summarization BERTScore: Evaluating Text Generation with BERT

Reference 17

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no resolver link, observed 2026-08-08T20:09:41.817337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 93c792a5-3c5d-4c17-afde-77bf08d02edd · outbound

This paper cites IEEE Transactions on Knowledge and Data Engineering (2025).

MIDAS: Multi-LLM Iterative Data-Adaptive Summarization IEEE Transactions on Knowledge and Data Engineering (2025)

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T20:09:42.439606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T20:09:41.820624Z digest=sha256:d737b9901960dec8774508bcf656ca7713eb1b1686640b2d5b638c7da5eb1654

Observation d92b6b04-d45f-4a26-9fb5-c2a02b586930 · outbound

This paper cites A Survey of Large Language Models.

MIDAS: Multi-LLM Iterative Data-Adaptive Summarization A Survey of Large Language Models

Reference 19

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unresolved
no resolver link, observed 2026-08-08T20:09:41.824382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:09:41.824382Z digest=sha256:e917266112a14f5f731105ba3a599511a053718f0083e9f6276504d57bc893db

Observation 37b1c4fa-d49b-415d-ac65-ecaabd49bfef · outbound

This paper cites In: Proceedings of the Inter- national Conference on Learning Representations (ICLR) (2023).

MIDAS: Multi-LLM Iterative Data-Adaptive Summarization In: Proceedings of the Inter- national Conference on Learning Representations (ICLR) (2023)

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T20:09:42.428279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T20:09:41.828244Z digest=sha256:0005ea0f01e937d05229f1f8605bbb55398d6ed8d97e46727f7cd979b268c90d

Observation be0445dc-8522-4b47-8903-ac5274d0df43 · outbound

This paper cites Provide summary following the format of reference summary.

MIDAS: Multi-LLM Iterative Data-Adaptive Summarization Provide summary following the format of reference summary

Reference 21

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raw_fallback, observed 2026-08-08T20:09:42.417068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 6e1ec90f-cf17-4acf-83cc-92eecdfcc7b3 · outbound

This paper cites an unresolved cited work.

MIDAS: Multi-LLM Iterative Data-Adaptive Summarization Unresolved cited work

Reference 22

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raw_fallback, observed 2026-08-08T20:09:42.406937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T20:09:41.836085Z digest=sha256:4d9acf727e34c94f1d17317ac4d39eb2e37f4d16e5e36a1b37eff22a2febe35f

Observation f219d434-b92f-4fe4-8e2a-85194e5029ad · outbound

This paper cites an unresolved cited work.

MIDAS: Multi-LLM Iterative Data-Adaptive Summarization Unresolved cited work

Reference 23

Resolution
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raw_fallback, observed 2026-08-08T20:09:42.396621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation c88068c4-f654-499d-979e-5600b142d2f1 · outbound

This paper cites an unresolved cited work.

MIDAS: Multi-LLM Iterative Data-Adaptive Summarization Unresolved cited work

Reference 24

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raw_fallback, observed 2026-08-08T20:09:42.387359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation c23e7de0-e34c-4df4-b0a2-db7b71dd0ebc · outbound

This paper cites an unresolved cited work.

MIDAS: Multi-LLM Iterative Data-Adaptive Summarization Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-08T20:09:42.377028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T20:09:41.848140Z digest=sha256:10ec39ad796579e3430715ee707b71203c8560a19f5f49c7a1cc94b819f3396b

Observation 1d2afbc1-5a5b-425b-825e-f27c1d6d3199 · outbound

This paper cites an unresolved cited work.

MIDAS: Multi-LLM Iterative Data-Adaptive Summarization Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-08T20:09:42.367148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T20:09:41.851649Z digest=sha256:caf732e084e13494b36ada32a7f64b6297216d27480ebb132336d12714cbf5c1

Observation 3c3174d1-ee0c-4202-8da8-92f7819d8eda · outbound

This paper cites an unresolved cited work.

MIDAS: Multi-LLM Iterative Data-Adaptive Summarization Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-08T20:09:42.356223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T20:09:41.855428Z digest=sha256:4e35674bc1b2fb34f4bb30d207f892c92fbeb76147e7a2fba0b69838c3930e7c

Observation 4e3a78ca-dd1c-42e2-859c-aaaa7ee36882 · outbound

This paper cites "".strip() A.4 Scorer LLM Template LLM_EVALUATION_PROMPT_TEMPLATE =.

MIDAS: Multi-LLM Iterative Data-Adaptive Summarization "".strip() A.4 Scorer LLM Template LLM_EVALUATION_PROMPT_TEMPLATE =

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T20:09:42.346869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T20:09:41.859165Z digest=sha256:707692711ea0f7a0ac054f5b043984c4120eeca438af7e3cbdd5bae6cf9bbc1d

Observation 481702b4-56d1-499e-a47a-e29641291edc · outbound

This paper cites an unresolved cited work.

MIDAS: Multi-LLM Iterative Data-Adaptive Summarization Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-08T20:09:42.336324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T20:09:41.862480Z digest=sha256:250d2f7fc7dff6ddfd7cada168576ecc17923250b9f4e18020ce202b293ff151

Observation 9405dd30-e226-46d7-9083-118eab91c829 · outbound

This paper cites an unresolved cited work.

MIDAS: Multi-LLM Iterative Data-Adaptive Summarization Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-08T20:09:42.326957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T20:09:41.865846Z digest=sha256:55a64a910932b07bb504f8f055904a750a2e517ec4e8b8976951eb91f80fa012

Observation b7fd51d1-9c3a-4973-b8ef-ee2fc49068d2 · outbound

This paper cites an unresolved cited work.

MIDAS: Multi-LLM Iterative Data-Adaptive Summarization Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-08T20:09:42.316454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T20:09:41.869145Z digest=sha256:90e0b1bbc9f51ed0be06a40fa9ecd74291db4a4f27c9cd13f5a326565db8af2f

Pith citing papers

No inbound Pith citation observations are available.