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Paper Citation Record · LEDGER

Improving Cross-Format Robustness in Language Models with Multi-Format Training

As of 7 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2606.11643.

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

pith.paper-citation-record.v1
2606.11643 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T10:13:22.927828Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

36 of 36 outbound references displayed

  • verified exact5
  • verified fuzzy0
  • unresolved27
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f62304e0-9ea3-43ed-bd0d-9e05243301a6 · outbound

This paper cites an unresolved cited work.

Improving Cross-Format Robustness in Language Models with Multi-Format Training Unresolved cited work

Reference 1

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unresolved
no resolver link, observed 2026-06-27T10:13:22.927828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T10:13:22.927828Z digest=sha256:c424bd59f66b648782403d1649b7dbad415836f7fea76bb743cca21a821325fc

Observation 12b3c3bb-751a-4e5a-8ef3-83e0505ca0c3 · outbound

This paper cites Proceedings of the Fourth Workshop on Generation, Evaluation and Metrics (GEM ^2 ) , pages=.

Improving Cross-Format Robustness in Language Models with Multi-Format Training Proceedings of the Fourth Workshop on Generation, Evaluation and Metrics (GEM ^2 ) , pages=

Reference 2

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unresolved
no resolver link, observed 2026-06-27T10:13:22.927828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T10:13:22.927828Z digest=sha256:c208d4023e268f0b8e8c494f5df2aaf80b1406f663eaa057cb5dc03068aeea5f

Observation 60093fad-208c-43d3-9efb-76bc05badb8e · outbound

This paper cites arXiv e-prints , pages=.

Improving Cross-Format Robustness in Language Models with Multi-Format Training arXiv e-prints , pages=

Reference 3

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no resolver link, observed 2026-06-27T10:13:22.927828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T10:13:22.927828Z digest=sha256:b2cfd77d0435801194ce81808de816587ad0745cf132f0704a1a64b33b62bcf7

Observation bbcb6039-dc23-4c52-8e4a-ab5d354636a6 · outbound

This paper cites arXiv preprint arXiv:2510.11905 , year=.

Improving Cross-Format Robustness in Language Models with Multi-Format Training arXiv preprint arXiv:2510.11905 , year=

Reference 4

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verified exact
arxiv_id, observed 2026-07-03T10:17:57.220122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T10:13:22.927828Z digest=sha256:70c2719486c76c797d54d34cff7919eaeff355278f73b014140bf2402dfe3e20

Observation a9d9b5e2-3ac9-468b-a6ed-a05e8921a777 · outbound

This paper cites Findings of the Association for Computational Linguistics: ACL 2025 , pages=.

Improving Cross-Format Robustness in Language Models with Multi-Format Training Findings of the Association for Computational Linguistics: ACL 2025 , pages=

Reference 5

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unresolved
no resolver link, observed 2026-06-27T10:13:22.927828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T10:13:22.927828Z digest=sha256:76fade69a6919887d9da218776cceabaee7d04d1dbfd8d49cace387cbc11dbf4

Observation 341e30d9-2a30-45ec-b255-4b98273e8cdf · outbound

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

Improving Cross-Format Robustness in Language Models with Multi-Format Training Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 6

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unresolved
no resolver link, observed 2026-06-27T10:13:22.927828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T10:13:22.927828Z digest=sha256:f6ea60c40440abbd600eb88f9bea52ebf137361a032299b09fae4c2e573da302

Observation 7d54dfb1-535a-410c-bd23-840e74d9d914 · outbound

This paper cites Open-LLM-Leaderboard: From Multi-choice to Open-style Questions for LLMs Evaluation, Benchmark, and Arena.

Improving Cross-Format Robustness in Language Models with Multi-Format Training Open-LLM-Leaderboard: From Multi-choice to Open-style Questions for LLMs Evaluation, Benchmark, and Arena

Reference 7

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metadata mismatch
arxiv_id, observed 2026-07-03T10:17:57.222547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T10:13:22.927828Z digest=sha256:ab323a45ee0925befb21785db2d3cdc7ebbad6cb8c0f4d8e5835194d17a31f1e

Observation f8205d65-bfe0-4ad1-8ccd-7cb1b4b12f75 · outbound

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

Improving Cross-Format Robustness in Language Models with Multi-Format Training Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 8

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unresolved
no resolver link, observed 2026-06-27T10:13:22.927828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T10:13:22.927828Z digest=sha256:5f38af3c622b7ec23aef48f32543ad99f4167ecb89a3333a1d6c304c2eb27516

Observation 0104e497-a442-4600-88db-9684d3bc0a6a · outbound

This paper cites Answer Matching Outperforms Multiple Choice for Language Model Evaluation.

Improving Cross-Format Robustness in Language Models with Multi-Format Training Answer Matching Outperforms Multiple Choice for Language Model Evaluation

Reference 9

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verified exact
arxiv_id, observed 2026-07-03T10:07:56.335157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T10:13:22.927828Z digest=sha256:84ebbf04635baf7af42d76c68c052661a15d9f7386f570d6c78e6dd904cec327

Observation 5b6d2f56-72c0-4125-83a6-1c06490c6cd0 · outbound

This paper cites Answer, Assemble, Ace: Understanding How LMs Answer Multiple Choice Questions.

Improving Cross-Format Robustness in Language Models with Multi-Format Training Answer, Assemble, Ace: Understanding How LMs Answer Multiple Choice Questions

Reference 10

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verified exact
arxiv_id, observed 2026-07-03T10:07:56.333742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T10:13:22.927828Z digest=sha256:a40de7a93a85c16958ebca0773a4ff48220415e7d96b90645cca73b7889cbd0d

Observation 3fc02c62-69c3-4f58-850e-173647e28c0e · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Improving Cross-Format Robustness in Language Models with Multi-Format Training Measuring Massive Multitask Language Understanding

Reference 11

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metadata mismatch
local_arxiv, observed 2026-07-03T10:17:57.217635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T10:13:22.927828Z digest=sha256:6200f08ff5b4f3ae1d8b75b9648141d1f262803cac88a4cbf1ca1e4fa7352a56

Observation afa77042-f0ac-46e0-b57e-64fe163f3109 · outbound

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

Improving Cross-Format Robustness in Language Models with Multi-Format Training Advances in Neural Information Processing Systems , volume=

Reference 12

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unresolved
no resolver link, observed 2026-06-27T10:13:22.927828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T10:13:22.927828Z digest=sha256:aebe09528298a3571cc639c1d9468736efcd02482ca5970033062495d31bd490

Observation a18bb7ce-3cf5-4589-a4de-ac231a692a78 · outbound

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

Improving Cross-Format Robustness in Language Models with Multi-Format Training Advances in Neural Information Processing Systems , volume=

Reference 13

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unresolved
no resolver link, observed 2026-06-27T10:13:22.927828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T10:13:22.927828Z digest=sha256:f989ddf2f0b9752026e78fa00d922ae3d907e5cfa4ee808af6c60a485d373217

Observation 6b0b6af9-9b40-4106-be71-6eaacf363385 · outbound

This paper cites GPQA: A Graduate-Level Google-Proof Q&A Benchmark.

Improving Cross-Format Robustness in Language Models with Multi-Format Training GPQA: A Graduate-Level Google-Proof Q&A Benchmark

Reference 14

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metadata mismatch
local_arxiv, observed 2026-07-03T10:17:57.224857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T10:13:22.927828Z digest=sha256:b26a7dea0fb71167902e1b93fc65becadd4f8bd93fcec8cbd3b7220285961c03

Observation 50aef38c-90fc-4676-9d1d-b86ab9b169fb · outbound

This paper cites Advances in neural information processing systems , volume=.

Improving Cross-Format Robustness in Language Models with Multi-Format Training Advances in neural information processing systems , volume=

Reference 15

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unresolved
no resolver link, observed 2026-06-27T10:13:22.927828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T10:13:22.927828Z digest=sha256:65d48413a4359f633d9a4700f9ef94c8a750527ae0ce34c8cb1192d72ab0358a

Observation 2a0fcae4-0980-4db5-aaa0-d9270d618ef1 · outbound

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

Improving Cross-Format Robustness in Language Models with Multi-Format Training Findings of the Association for Computational Linguistics: ACL 2024 , pages=

Reference 16

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unresolved
no resolver link, observed 2026-06-27T10:13:22.927828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T10:13:22.927828Z digest=sha256:135ad7d8f78d6452c55c99f2e1e39dae4fe418b787d0ab3b5f10fbd274b358aa

Observation 058a96d1-c6bc-434f-9754-91af1105f918 · outbound

This paper cites Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) , pages=.

Improving Cross-Format Robustness in Language Models with Multi-Format Training Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) , pages=

Reference 17

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no resolver link, observed 2026-06-27T10:13:22.927828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T10:13:22.927828Z digest=sha256:36fec0e6d607a2b73d7cf18645cecc025b870f696fd637f97fe9d63513c18b71

Observation c21010bd-e40e-433d-bb83-0f0c0e081189 · outbound

This paper cites Proceedings of the 31st International Conference on Computational Linguistics , pages=.

Improving Cross-Format Robustness in Language Models with Multi-Format Training Proceedings of the 31st International Conference on Computational Linguistics , pages=

Reference 18

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no resolver link, observed 2026-06-27T10:13:22.927828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T10:13:22.927828Z digest=sha256:5c73dbde363b3dd11ff3885937d09dee17f58581f09c70ffdd2bba374bb4f62a

Observation 010f32f3-1d80-4e57-873f-620ad53a79b0 · outbound

This paper cites arXiv preprint arXiv:2511.21860 , year=.

Improving Cross-Format Robustness in Language Models with Multi-Format Training arXiv preprint arXiv:2511.21860 , year=

Reference 19

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verified exact
arxiv_id, observed 2026-07-03T10:07:56.327181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T10:13:22.927828Z digest=sha256:c41c79b14679528d1b00d8e5d9fedb9f3878433a2073e4af49fac8b3741eb0b4

Observation 74574bda-8eaf-4dd4-a8eb-9b3fe3f97b10 · outbound

This paper cites an unresolved cited work.

Improving Cross-Format Robustness in Language Models with Multi-Format Training Unresolved cited work

Reference 20

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no resolver link, observed 2026-06-27T10:13:22.927828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T10:13:22.927828Z digest=sha256:19cb10ad3ac488be673512dc2dd9820ed856194897e0efe48b21dca34d5fd6c9

Observation 0478b8ac-07c5-4e89-9319-ea126317238f · outbound

This paper cites EQUATOR: A Deterministic Framework for Evaluating LLM Reasoning with Open-Ended Questions. # v1.0.0-beta.

Improving Cross-Format Robustness in Language Models with Multi-Format Training EQUATOR: A Deterministic Framework for Evaluating LLM Reasoning with Open-Ended Questions. # v1.0.0-beta

Reference 21

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verified exact
arxiv_id, observed 2026-07-03T10:07:56.329771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T10:13:22.927828Z digest=sha256:6873c2899480f6c3bd069f72bdc12f9a08c6f1bd794a493ab86f5c7ed282e28a

Observation a8a00c2c-f5d6-4560-bdfc-a512f2460f69 · outbound

This paper cites an unresolved cited work.

Improving Cross-Format Robustness in Language Models with Multi-Format Training Unresolved cited work

Reference 22

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no resolver link, observed 2026-06-27T10:13:22.927828Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T10:13:22.927828Z digest=sha256:982a47fc066a45d3b59c6790e1f1892124f1be232a09cac50dec64384a18c0a5

Observation 71da0f81-c832-4559-a0f7-44f3c7ef78d6 · outbound

This paper cites Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages=.

Improving Cross-Format Robustness in Language Models with Multi-Format Training Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 23

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no resolver link, observed 2026-06-27T10:13:22.927828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T10:13:22.927828Z digest=sha256:882afd3c55f9491ca83bb29d9558551d3395ccae29dd840a4135a2d90e41005d

Observation ce01f88e-b9bc-4263-b7e4-7647f140f002 · outbound

This paper cites Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) , pages=.

Improving Cross-Format Robustness in Language Models with Multi-Format Training Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) , pages=

Reference 24

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no resolver link, observed 2026-06-27T10:13:22.927828Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T10:13:22.927828Z digest=sha256:6947e611105ca3025dc286ed7726c2630b753d58fde9149aaadbbda13e7a24bb

Observation 57fef7b5-0207-4a86-9546-5d564d2c4dae · outbound

This paper cites Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages=.

Improving Cross-Format Robustness in Language Models with Multi-Format Training Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 25

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unresolved
no resolver link, observed 2026-06-27T10:13:22.927828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T10:13:22.927828Z digest=sha256:c6738b36a829c026af4df22750046882b58f455968f37933b601ef96439ecdb7

Observation 2bc369e4-f896-471a-808d-4a7778f49b22 · outbound

This paper cites Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

Improving Cross-Format Robustness in Language Models with Multi-Format Training Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 26

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unresolved
no resolver link, observed 2026-06-27T10:13:22.927828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T10:13:22.927828Z digest=sha256:f56a83a776895f2c991c1fa69b1cc97df4a3e015a26887c7f461c538895c054f

Observation e767a21c-b1d2-4e3b-951e-5c3234613300 · outbound

This paper cites Rating Roulette: Self-Inconsistency in LLM-As-A-Judge Frameworks.

Improving Cross-Format Robustness in Language Models with Multi-Format Training Rating Roulette: Self-Inconsistency in LLM-As-A-Judge Frameworks

Reference 27

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metadata mismatch
local_arxiv, observed 2026-07-03T10:07:56.332277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T10:13:22.927828Z digest=sha256:db93b7cec4ccd8d153aaf06e99ad633ea5e20ed4a2fa84396f8688f3db03bf7e

Observation c15ba496-67d1-49f7-969c-c0d97921101d · outbound

This paper cites Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=.

Improving Cross-Format Robustness in Language Models with Multi-Format Training Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 28

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no resolver link, observed 2026-06-27T10:13:22.927828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T10:13:22.927828Z digest=sha256:c15b44761a76e69f7ab604895be737736bff857513ea444f3ec11b89cc96310b

Observation 8ffd3ff6-a3c9-46f7-858c-6d9027183bef · outbound

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

Improving Cross-Format Robustness in Language Models with Multi-Format Training Findings of the Association for Computational Linguistics: EMNLP 2024 , pages=

Reference 29

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no resolver link, observed 2026-06-27T10:13:22.927828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T10:13:22.927828Z digest=sha256:f961d5100b93a6b10eaad65eb3c1dfb30355af00035f9145d2e53a662fa6f4d0

Observation 014654a3-f9ea-4e9a-89e2-5e3836dbde17 · outbound

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

Improving Cross-Format Robustness in Language Models with Multi-Format Training Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 30

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unresolved
no resolver link, observed 2026-06-27T10:13:22.927828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T10:13:22.927828Z digest=sha256:4512df20a022c6f3cf7833c62099aff4f2fd733b0c4eff285654c5a0934aa2e9

Observation 990c6142-2d72-4e33-9cc7-da5319683d59 · outbound

This paper cites 2024 , eprint=.

Improving Cross-Format Robustness in Language Models with Multi-Format Training 2024 , eprint=

Reference 31

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no resolver link, observed 2026-06-27T10:13:22.927828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T10:13:22.927828Z digest=sha256:6fdf45f8e4778c24fadcbdb70a41483530849f77de8cf40941c2929c3a19f542

Observation ebb2edc0-d207-4225-b89c-315e749b157d · outbound

This paper cites 2025 , eprint=.

Improving Cross-Format Robustness in Language Models with Multi-Format Training 2025 , eprint=

Reference 32

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no resolver link, observed 2026-06-27T10:13:22.927828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T10:13:22.927828Z digest=sha256:d2ea861a65f519cef4007b0c2411221ccaa1297c315bd5b4848b3948065f785c

Observation aba46896-fe23-4444-80c1-aa7be5f07689 · outbound

This paper cites 2026 , eprint=.

Improving Cross-Format Robustness in Language Models with Multi-Format Training 2026 , eprint=

Reference 33

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no resolver link, observed 2026-06-27T10:13:22.927828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T10:13:22.927828Z digest=sha256:6c88f63d52eab81adfed86c18790c3695970faa0ee544624b4ef114ef1922500

Observation 2d3eeb7e-41b1-4e47-aa0b-3d809e000ebe · outbound

This paper cites 2025 , eprint=.

Improving Cross-Format Robustness in Language Models with Multi-Format Training 2025 , eprint=

Reference 34

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unresolved
no resolver link, observed 2026-06-27T10:13:22.927828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T10:13:22.927828Z digest=sha256:2adb59c0af2142309b904510612de876ce0ffd012fae1ce1fd755a4e68b544bb

Observation b98fba37-29f7-4f72-ab6f-3effbe4d6e5f · outbound

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

Improving Cross-Format Robustness in Language Models with Multi-Format Training Findings of the Association for Computational Linguistics: ACL 2023 , pages=

Reference 35

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unresolved
no resolver link, observed 2026-06-27T10:13:22.927828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T10:13:22.927828Z digest=sha256:3fee053881b9761d93960ca52542e4b18f73448d2b0321057e9345f6c40ca2ff

Observation 5d2fbecb-9cb5-424a-83b0-1c67938606e7 · outbound

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

Improving Cross-Format Robustness in Language Models with Multi-Format Training Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 36

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no resolver link, observed 2026-06-27T10:13:22.927828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-27T10:13:22.927828Z digest=sha256:75170d7adb5c9a9be0de9874cb6ebf6964a8f4877cd4285b030470abc44103b7

Pith citing papers

No inbound Pith citation observations are available.