Pith. sign in

Paper Citation Record · LEDGER

STEC: Evidence Compression for Deep Search in Open-domain Multi-Hop QA

As of 10 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2607.10795.

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

pith.paper-citation-record.v1
2607.10795 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T09:13:24.763990Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 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

32 of 32 outbound references displayed

  • verified exact4
  • verified fuzzy0
  • unresolved28
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e067351c-1a6d-4de7-827c-2deadd850d1c · outbound

This paper cites uttler, H., Lewis, M., Yih, W.-T., Rockt.

STEC: Evidence Compression for Deep Search in Open-domain Multi-Hop QA uttler, H., Lewis, M., Yih, W.-T., Rockt

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-14T09:13:24.763990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T09:13:24.763990Z digest=sha256:9f2e3ae97eddaa3321bc9aeedc046fd21a0703eb806fb625643eb8c959084c27

Observation da801855-03b0-46dc-8c6b-a65fd18b7b26 · outbound

This paper cites In: The Eleventh International Conference on Learning Representations (ICLR 2023) (2023).

STEC: Evidence Compression for Deep Search in Open-domain Multi-Hop QA In: The Eleventh International Conference on Learning Representations (ICLR 2023) (2023)

Reference 2

Resolution
unresolved
no resolver link, observed 2026-07-14T09:13:24.763990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T09:13:24.763990Z digest=sha256:01bbc543c60a96f0889c1ef4a2f46b7ee15bf4225d9dc9f9b71a4bfcd110476e

Observation ba8ce87c-51bb-4e21-85ae-42b9a1594487 · outbound

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

STEC: Evidence Compression for Deep Search in Open-domain Multi-Hop QA In: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-14T09:13:24.763990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T09:13:24.763990Z digest=sha256:93cc156d0644c62c9449e28dae84fb8dffb011b91c0bfb170704883b8ee3eb34

Observation c8ed005a-51eb-4bb1-a227-933be6468b53 · outbound

This paper cites In: The Twelfth International Con- ference on Learning Representations (ICLR 2024) (2024).

STEC: Evidence Compression for Deep Search in Open-domain Multi-Hop QA In: The Twelfth International Con- ference on Learning Representations (ICLR 2024) (2024)

Reference 4

Resolution
unresolved
no resolver link, observed 2026-07-14T09:13:24.763990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T09:13:24.763990Z digest=sha256:d1f7cc33ce1e4379da1ce2067e99757a2f848e6e5b709f9f236caa3958c4cd71

Observation 88e64b3f-5ba7-47ea-9dd7-b6a8d394f1fd · outbound

This paper cites In: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Process- ing, pp.

STEC: Evidence Compression for Deep Search in Open-domain Multi-Hop QA In: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Process- ing, pp

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-14T09:13:24.763990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T09:13:24.763990Z digest=sha256:56f4533956ed712503b16f1934d19751ed8c3c082ce46a8f071c8b7251ae7d0c

Observation 1ddad8cb-bbc3-4858-8ee4-49533bf0aa72 · outbound

This paper cites an unresolved cited work.

STEC: Evidence Compression for Deep Search in Open-domain Multi-Hop QA Unresolved cited work

Reference 6

Resolution
verified exact
doi, observed 2026-07-14T09:20:22.269048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-14T09:13:24.763990Z digest=sha256:47755e826508444c5b69ea178cd07e277e9f9593b5c1f9a371fd22fc0c5bf56d

Observation 04ca87a2-d4ff-435b-a673-dfd32be72f39 · outbound

This paper cites In: Advances in Neural Information Processing Systems 38 (NeurIPS 2025) (2025).

STEC: Evidence Compression for Deep Search in Open-domain Multi-Hop QA In: Advances in Neural Information Processing Systems 38 (NeurIPS 2025) (2025)

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-14T09:13:24.763990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T09:13:24.763990Z digest=sha256:e49d2892251de9d89c34063c99c31a3063271ce8c23fb9102923be422e2e4674

Observation 76272166-8845-436f-8871-3546838815f8 · outbound

This paper cites In: Pro- ceedings of the 2025 Conference on Empirical Methods in Natural Language Pro- cessing, pp.

STEC: Evidence Compression for Deep Search in Open-domain Multi-Hop QA In: Pro- ceedings of the 2025 Conference on Empirical Methods in Natural Language Pro- cessing, pp

Reference 8

Resolution
unresolved
no resolver link, observed 2026-07-14T09:13:24.763990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T09:13:24.763990Z digest=sha256:fafcbf7848a1287dc38f53556a02acb95ec737b28a6ba36c9fd8805686d7d7b9

Observation c3d08936-00b1-4771-9d16-1441c8ff12eb · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence 40(23), 19380–19388 (2026).

STEC: Evidence Compression for Deep Search in Open-domain Multi-Hop QA Proceedings of the AAAI Conference on Artificial Intelligence 40(23), 19380–19388 (2026)

Reference 9

Resolution
verified exact
doi, observed 2026-07-14T09:20:22.254899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-14T09:13:24.763990Z digest=sha256:19ccf12d7382db81b5fac52c31cc82bb507f68e3ab076878548e664aae53fb67

Observation cf8c43f8-e8ca-4fb2-9813-b365eb52a820 · outbound

This paper cites Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning.

STEC: Evidence Compression for Deep Search in Open-domain Multi-Hop QA Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Reference 10

Resolution
unresolved
no resolver link, observed 2026-07-14T09:13:24.763990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T09:13:24.763990Z digest=sha256:b01282a0fc017de3a8b9f7e39e33082a4a8ecba88379f8de837bb40fa871886a

Observation 82693189-e6fd-405c-a7ea-0a4607f6eed8 · outbound

This paper cites In: Advances in Neural Information Processing Systems 38 (NeurIPS 2025) (2025).

STEC: Evidence Compression for Deep Search in Open-domain Multi-Hop QA In: Advances in Neural Information Processing Systems 38 (NeurIPS 2025) (2025)

Reference 11

Resolution
unresolved
no resolver link, observed 2026-07-14T09:13:24.763990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T09:13:24.763990Z digest=sha256:c8bbfc4d0698ae2b62d9acef24669835588c5b2419312567a8868bc65fd98cf6

Observation 5268498f-6f2a-4817-8f53-3280eb22de81 · outbound

This paper cites R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning.

STEC: Evidence Compression for Deep Search in Open-domain Multi-Hop QA R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-14T09:13:24.763990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T09:13:24.763990Z digest=sha256:82f58baf61bdc083d688ea092eb402da1a4b49297f95b43243659a65ebab7a8c

Observation 61c6a9c4-2f4c-43d9-9be1-39d977a9439b · outbound

This paper cites ZeroSearch: Incentivize the Search Capability of LLMs without Searching.

STEC: Evidence Compression for Deep Search in Open-domain Multi-Hop QA ZeroSearch: Incentivize the Search Capability of LLMs without Searching

Reference 13

Resolution
unresolved
no resolver link, observed 2026-07-14T09:13:24.763990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T09:13:24.763990Z digest=sha256:bd8a4531e16cf5186f9fe3a9ec3bd686462adef0e11a28783abce9f421865386

Observation 5691641b-3cbf-487f-a543-86c61f0a6394 · outbound

This paper cites In: Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’26), Melbourne/Naarm, Australia, to appear (2026).

STEC: Evidence Compression for Deep Search in Open-domain Multi-Hop QA In: Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’26), Melbourne/Naarm, Australia, to appear (2026)

Reference 14

Resolution
unresolved
no resolver link, observed 2026-07-14T09:13:24.763990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T09:13:24.763990Z digest=sha256:c430b06ed71b66987091789cbd58b58cfc65258b57ff17af15587c4d377b7475

Observation 06839ba9-a1de-4de3-8cdf-df51bb8f9b86 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence 40(40), 34142–34150 (2026).

STEC: Evidence Compression for Deep Search in Open-domain Multi-Hop QA Proceedings of the AAAI Conference on Artificial Intelligence 40(40), 34142–34150 (2026)

Reference 15

Resolution
verified exact
doi, observed 2026-07-14T09:20:22.246697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-14T09:13:24.763990Z digest=sha256:c7960c9c41c87354a6212993c6088e83a365a4a489aa1aaa37616e240126a76d

Observation c0bf0596-2db5-4ab2-8d3c-e5e70063d633 · outbound

This paper cites In: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, pp.

STEC: Evidence Compression for Deep Search in Open-domain Multi-Hop QA In: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, pp

Reference 16

Resolution
unresolved
no resolver link, observed 2026-07-14T09:13:24.763990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T09:13:24.763990Z digest=sha256:9a2f4279afcf9130958eb3c2dc270eda7388170de951b892ec74ca010acac0da

Observation 5a513020-87df-4bc8-930e-6bef3f4e37e4 · outbound

This paper cites In: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, pp.

STEC: Evidence Compression for Deep Search in Open-domain Multi-Hop QA In: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, pp

Reference 17

Resolution
unresolved
no resolver link, observed 2026-07-14T09:13:24.763990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T09:13:24.763990Z digest=sha256:968f2fb583432298cb675a2af25a01b6d4af55ca1ed45d79a6f301d8777355d6

Observation 5d835ac7-942d-4dfc-bed2-736718a2685e · outbound

This paper cites arXiv preprint arXiv:2505.14999 (2025).

STEC: Evidence Compression for Deep Search in Open-domain Multi-Hop QA arXiv preprint arXiv:2505.14999 (2025)

Reference 18

Resolution
unresolved
no resolver link, observed 2026-07-14T09:13:24.763990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T09:13:24.763990Z digest=sha256:e85e4fbfa9f0ed41861b3eb9e8f49ce1ab39b5cd186c2fd1c1c9adac33094b88

Observation 75492238-17e2-43fd-a2eb-9d6e1643012f · outbound

This paper cites In: The Thirteenth International Conference on Learning Representations (ICLR 2025) (2025).

STEC: Evidence Compression for Deep Search in Open-domain Multi-Hop QA In: The Thirteenth International Conference on Learning Representations (ICLR 2025) (2025)

Reference 19

Resolution
unresolved
no resolver link, observed 2026-07-14T09:13:24.763990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T09:13:24.763990Z digest=sha256:3093df164f3a0f69fcb87af57ecfe375e7e48150a8ba1b1986c85eb1c26cc54e

Observation 48e88c4d-d56e-48a8-a967-4dd95d9e63c2 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial In- telligence 40(41), 34932–34940 (2026).

STEC: Evidence Compression for Deep Search in Open-domain Multi-Hop QA Proceedings of the AAAI Conference on Artificial In- telligence 40(41), 34932–34940 (2026)

Reference 20

Resolution
unresolved
no resolver link, observed 2026-07-14T09:13:24.763990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T09:13:24.763990Z digest=sha256:f8a8f3556c0fd5fae5a088fed5095142c0f53222b4d36596061c9e70d77b776c

Observation 7809fc61-4615-475d-a748-4b4e8fbced15 · outbound

This paper cites In: Proceedings of the 42nd In- ternational Conference on Machine Learning, PMLR 267, pp.

STEC: Evidence Compression for Deep Search in Open-domain Multi-Hop QA In: Proceedings of the 42nd In- ternational Conference on Machine Learning, PMLR 267, pp

Reference 21

Resolution
unresolved
no resolver link, observed 2026-07-14T09:13:24.763990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T09:13:24.763990Z digest=sha256:ab2d869f2753496cfa2b64ab72a7876d64b0c5d8bf4448f5fbec6f42de827370

Observation 65c4a24f-d29b-463c-bab6-e1f2b7a2e8b6 · outbound

This paper cites In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pp.

STEC: Evidence Compression for Deep Search in Open-domain Multi-Hop QA In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pp

Reference 22

Resolution
unresolved
no resolver link, observed 2026-07-14T09:13:24.763990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T09:13:24.763990Z digest=sha256:959d6cfa30f3c74b013c45b8082ebbc02989bf423a677083ee500b8b85f5c161

Observation acb6cc24-cb50-4ce0-ae61-8d4ee30acf72 · outbound

This paper cites In: Proceedings of the 28th International Conference on Computational Linguistics, pp.

STEC: Evidence Compression for Deep Search in Open-domain Multi-Hop QA In: Proceedings of the 28th International Conference on Computational Linguistics, pp

Reference 23

Resolution
unresolved
no resolver link, observed 2026-07-14T09:13:24.763990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T09:13:24.763990Z digest=sha256:1a6b110e237f4d79e1e4ef6c2c94c0ffee51ccf425f496915d44d2f64abe5b23

Observation b0a51a91-5522-418d-af26-5f2c0c1a861d · outbound

This paper cites Transactions of the Association for Computational Linguistics 10, 539–554 (2022).

STEC: Evidence Compression for Deep Search in Open-domain Multi-Hop QA Transactions of the Association for Computational Linguistics 10, 539–554 (2022)

Reference 24

Resolution
unresolved
no resolver link, observed 2026-07-14T09:13:24.763990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T09:13:24.763990Z digest=sha256:b7e6c066b201dc299a8b7b1819c1e4a71b24df6d36cdb00b923f9cb41cf5c5a2

Observation 7deb1cdb-562c-42e4-858f-5c47c1d8248d · outbound

This paper cites In: Findings of the As- sociation for Computational Linguistics: EMNLP 2023, pp.

STEC: Evidence Compression for Deep Search in Open-domain Multi-Hop QA In: Findings of the As- sociation for Computational Linguistics: EMNLP 2023, pp

Reference 25

Resolution
unresolved
no resolver link, observed 2026-07-14T09:13:24.763990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T09:13:24.763990Z digest=sha256:51b858db321ef09929c635c74fbbf5d0a5664a2ce1a714f2c8ccd2f8d5be8ba7

Observation 93f9f9c0-7082-42b1-a1f8-84652a3f71b0 · outbound

This paper cites In: Advances in Neural Information Processing Systems 35, pp.

STEC: Evidence Compression for Deep Search in Open-domain Multi-Hop QA In: Advances in Neural Information Processing Systems 35, pp

Reference 26

Resolution
unresolved
no resolver link, observed 2026-07-14T09:13:24.763990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T09:13:24.763990Z digest=sha256:4247928629a1187a21a53f227fe0f2c46b285d786b0732f883f5dc2c8e6a629d

Observation 5e847185-1153-439d-bd61-57bd33f6b6f5 · outbound

This paper cites Journal of Machine Learning Research 25(70), 1–53 (2024).

STEC: Evidence Compression for Deep Search in Open-domain Multi-Hop QA Journal of Machine Learning Research 25(70), 1–53 (2024)

Reference 27

Resolution
unresolved
no resolver link, observed 2026-07-14T09:13:24.763990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T09:13:24.763990Z digest=sha256:6ffa1580b60abca58568e0c70df7d0ccbc336db79ba4931b4898ccef65f170cc

Observation 56ca8f21-680d-492d-a83e-53bed76165ca · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

STEC: Evidence Compression for Deep Search in Open-domain Multi-Hop QA DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 28

Resolution
unresolved
no resolver link, observed 2026-07-14T09:13:24.763990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T09:13:24.763990Z digest=sha256:a5b9cf845742845cd49550bf14089dbbc2dad508385f93c1a5d06006adeadde6

Observation 57ed5482-221d-49bf-8944-8629815e0a52 · outbound

This paper cites Large Language Models for Mathematical Reasoning: Progresses and Challenges.

STEC: Evidence Compression for Deep Search in Open-domain Multi-Hop QA Large Language Models for Mathematical Reasoning: Progresses and Challenges

Reference 29

Resolution
unresolved
no resolver link, observed 2026-07-14T09:13:24.763990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T09:13:24.763990Z digest=sha256:4db701821cb26b18330fdc692f7413577eea69eade4f83c0b87bcc660f630c91

Observation 51d4d304-3665-4d74-9d4a-4bec39fba7b5 · outbound

This paper cites Trans- actions on Machine Learning Research (2025).

STEC: Evidence Compression for Deep Search in Open-domain Multi-Hop QA Trans- actions on Machine Learning Research (2025)

Reference 30

Resolution
unresolved
no resolver link, observed 2026-07-14T09:13:24.763990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T09:13:24.763990Z digest=sha256:e433bed9cd5c72da2b4fb967716f316503e79e4b62a1e9481cc376da5ad24ad5

Observation 5cb02e0a-ab4a-47a0-9228-75c6d9913157 · outbound

This paper cites In: Conference on Language Modeling (COLM.

STEC: Evidence Compression for Deep Search in Open-domain Multi-Hop QA In: Conference on Language Modeling (COLM

Reference 31

Resolution
unresolved
no resolver link, observed 2026-07-14T09:13:24.763990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T09:13:24.763990Z digest=sha256:aa56eef9bb457644f2cc82f470d79fa939e85ad4f327dcf5182e1730f54794d8

Observation 9445371f-368b-42de-b761-10f60ad5cccc · outbound

This paper cites In: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, pp.

STEC: Evidence Compression for Deep Search in Open-domain Multi-Hop QA In: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, pp

Reference 32

Resolution
verified exact
doi, observed 2026-07-14T09:20:22.266064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-14T09:13:24.763990Z digest=sha256:150f83ed8721fb5fddead0d16552453e710fcfba144374c54257faadb23006c8

Pith citing papers

No inbound Pith citation observations are available.