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Paper Citation Record · LEDGER

Hidden-State Privacy Has an Empty Middle

As of 7 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2605.24042.

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

pith.paper-citation-record.v1
2605.24042 v3

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T16:14:01.560420Z

measured 45 of 45 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

45 of 45 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved44
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1322dbed-c038-4db6-b7eb-c0941093dcaa · outbound

This paper cites an unresolved cited work.

Hidden-State Privacy Has an Empty Middle Unresolved cited work

Reference 1

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source=pdf_text observed=2026-07-12T16:14:01.560420Z digest=sha256:3c2aa925f35579cb0b02bfdef9fea697ddb5481f67e1b0b7812ffc97cd9ec48c

Observation 03fb97a1-2c56-4372-8486-db9c9979a1a3 · outbound

This paper cites The rise of self-driving labs in chemical and materials sciences.Nature Synthesis, 2:483 – 492, 2023.

Hidden-State Privacy Has an Empty Middle The rise of self-driving labs in chemical and materials sciences.Nature Synthesis, 2:483 – 492, 2023

Reference 2

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source=pdf_text observed=2026-07-12T16:14:01.560420Z digest=sha256:295fc7e614d94941f92f895593f1e837d2d4cd17981d4f5c0052a294588b115b

Observation 630c0aa2-5165-40b8-ae6e-5067dc66b7f9 · outbound

This paper cites Autodiscovery: Open-ended scientific discovery via bayesian surprise.

Hidden-State Privacy Has an Empty Middle Autodiscovery: Open-ended scientific discovery via bayesian surprise

Reference 3

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source=pdf_text observed=2026-07-12T16:14:01.560420Z digest=sha256:6292b0ea90759ac2f9c046cfd7bf10f990d99421f9a28bf750a0490aff9d1d52

Observation 675e047c-4cb5-44b8-9f96-13790c665ad9 · outbound

This paper cites The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4.

Hidden-State Privacy Has an Empty Middle The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4

Reference 4

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source=pdf_text observed=2026-07-12T16:14:01.560420Z digest=sha256:21585274a134c22ab30f75ef91045fc55d1f542c3756126c18942dac04a2b4e7

Observation 8d299682-a2aa-423b-8290-a8fb70dad444 · outbound

This paper cites Deep batch active learning for drug discovery.

Hidden-State Privacy Has an Empty Middle Deep batch active learning for drug discovery

Reference 5

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source=pdf_text observed=2026-07-12T16:14:01.560420Z digest=sha256:ef1eea598006850af3114e864bec044d389736fba2017929f94589cd3d889a86

Observation b2092cac-5472-4158-9b0c-5e64eaa1249e · outbound

This paper cites an unresolved cited work.

Hidden-State Privacy Has an Empty Middle Unresolved cited work

Reference 6

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source=pdf_text observed=2026-07-12T16:14:01.560420Z digest=sha256:b869a5a2b99319a061feeeeaa57ead079a8c2c38ab4900f25cc00b91c744e3e6

Observation 71dac0cb-b17d-4aa0-a949-c9ed9dcbcf71 · outbound

This paper cites Discrimination among mechanistic models.Technomet- rics, 9(1):57–71, 1967.

Hidden-State Privacy Has an Empty Middle Discrimination among mechanistic models.Technomet- rics, 9(1):57–71, 1967

Reference 7

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source=pdf_text observed=2026-07-12T16:14:01.560420Z digest=sha256:cba66d07335c1c663ffc8a566786f9c8f01798b57114118f84e3870a2904c507

Observation 96d11e0f-0564-4018-b0f6-ecf4484e3914 · outbound

This paper cites AI4Research: A Survey of Artificial Intelligence for Scientific Research.

Hidden-State Privacy Has an Empty Middle AI4Research: A Survey of Artificial Intelligence for Scientific Research

Reference 8

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source=pdf_text observed=2026-07-12T16:14:01.560420Z digest=sha256:4c42dccd4115cabbef6e880d92392eeb5385887d00a681af0f10b1ca17b8336c

Observation 6fb7e847-e7bc-48c9-b83f-3864b8c4b885 · outbound

This paper cites HypoSpace: A Diagnostic Benchmark for Set-Valued Hypothesis Generation under Underdetermination and Sublinear Coverage Bounds.

Hidden-State Privacy Has an Empty Middle HypoSpace: A Diagnostic Benchmark for Set-Valued Hypothesis Generation under Underdetermination and Sublinear Coverage Bounds

Reference 9

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source=pdf_text observed=2026-07-12T16:14:01.560420Z digest=sha256:7d0fdc9c09870cdd46a50c7687c8c8c5cb3ee6e4181eb8058bfbe4b087c24197

Observation 04feb6c6-71ad-477b-93e5-8f65a4c8e325 · outbound

This paper cites A large-scale benchmark for network inference from single-cell perturbation data.Communica- tions Biology, 8(1):412, 2025.

Hidden-State Privacy Has an Empty Middle A large-scale benchmark for network inference from single-cell perturbation data.Communica- tions Biology, 8(1):412, 2025

Reference 10

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source=pdf_text observed=2026-07-12T16:14:01.560420Z digest=sha256:68f373f1716e332211df93d9bf924923940cba6226185c1ebf44eb006dadb5ca

Observation 0c3ab2fa-1dbc-4de2-95c5-b4eb24586db9 · outbound

This paper cites Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl.

Hidden-State Privacy Has an Empty Middle Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl

Reference 11

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source=pdf_text observed=2026-07-12T16:14:01.560420Z digest=sha256:19c88d4ea3d32f0b05ce2857fc0a2c1e5c9d754edc997138af26e5b4b452b7ea

Observation fbed5917-3370-42c7-9063-9008c3c82375 · outbound

This paper cites ODEFormer: Symbolic regression of dynamical systems with transformers.

Hidden-State Privacy Has an Empty Middle ODEFormer: Symbolic regression of dynamical systems with transformers

Reference 12

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source=pdf_text observed=2026-07-12T16:14:01.560420Z digest=sha256:0362010787f4e7ba94448b2ba26594d29dad0a7ba7518ee6f5504f578c582c58

Observation c309cf67-ee92-443f-b12b-8350fe87b00e · outbound

This paper cites Autoscilab: A self-driving laboratory for interpretable scientific discovery.

Hidden-State Privacy Has an Empty Middle Autoscilab: A self-driving laboratory for interpretable scientific discovery

Reference 13

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source=pdf_text observed=2026-07-12T16:14:01.560420Z digest=sha256:1dfc625b877e7e49193d0028843f75bca582809fbe356a0560224c58eeb2a538

Observation dfabfdcc-652c-40d9-95ba-b488fd2adaf0 · outbound

This paper cites Matllmsearch: Crystal struc- ture discovery with evolution-guided large language models.arXiv preprint arXiv:2502.20933, 2025.

Hidden-State Privacy Has an Empty Middle Matllmsearch: Crystal struc- ture discovery with evolution-guided large language models.arXiv preprint arXiv:2502.20933, 2025

Reference 14

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source=pdf_text observed=2026-07-12T16:14:01.560420Z digest=sha256:8ab8ec840fdfbcefd41096c2e7eb9d530d198d61702f22b542f85c025cb512df

Observation 4741bd34-1dd3-4f2f-a3d9-87b5831dca0f · outbound

This paper cites Symbolic regression with a learned concept library.Advances in Neural Information Processing Systems, 37:44678–44709, 2024.

Hidden-State Privacy Has an Empty Middle Symbolic regression with a learned concept library.Advances in Neural Information Processing Systems, 37:44678–44709, 2024

Reference 15

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source=pdf_text observed=2026-07-12T16:14:01.560420Z digest=sha256:705ea1a454d59c67700c20e91b2125d7ca7a8f0513b886e8da627e48f810c525

Observation f457a6ca-1cac-44e4-a935-3e5129ce8e14 · outbound

This paper cites Olympus: a benchmarking framework for noisy optimization and experiment planning.Machine Learning: Science and Technology, 2(3):035021, 2021.

Hidden-State Privacy Has an Empty Middle Olympus: a benchmarking framework for noisy optimization and experiment planning.Machine Learning: Science and Technology, 2(3):035021, 2021

Reference 16

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source=pdf_text observed=2026-07-12T16:14:01.560420Z digest=sha256:812cbbaf78248d98a3979d45bafaa190e5b73a2d36f6b1f07e7df7c6a8443101

Observation c454db4f-9cee-47d5-9692-9d469dfeddff · outbound

This paper cites Characterization and greedy learning of interventional markov equivalence classes of directed acyclic graphs.The Journal of Machine Learning Research, 13(1):2409–2464, 2012.

Hidden-State Privacy Has an Empty Middle Characterization and greedy learning of interventional markov equivalence classes of directed acyclic graphs.The Journal of Machine Learning Research, 13(1):2409–2464, 2012

Reference 17

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source=pdf_text observed=2026-07-12T16:14:01.560420Z digest=sha256:9d0df28ea16526f63ecd9e1c5408ddf4559f356edacc836936fef7081d63211d

Observation 5af2c767-e217-42ea-9360-306d6fafe9dc · outbound

This paper cites Sequential optimal experimental design of perturbation screens guided by multi-modal priors.bioRxiv, 2023.

Hidden-State Privacy Has an Empty Middle Sequential optimal experimental design of perturbation screens guided by multi-modal priors.bioRxiv, 2023

Reference 18

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source=pdf_text observed=2026-07-12T16:14:01.560420Z digest=sha256:12b7d3f7ddb8cb6e47a0566e7265dffbbd188c1bcea3c2414d4ccb68c07f0e47

Observation 8269d0b0-3129-4a5b-9c49-db8363b5dd83 · outbound

This paper cites Inferring regulatory networks from expression data using tree-based methods.PLoS ONE, 5, 2010.

Hidden-State Privacy Has an Empty Middle Inferring regulatory networks from expression data using tree-based methods.PLoS ONE, 5, 2010

Reference 19

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source=pdf_text observed=2026-07-12T16:14:01.560420Z digest=sha256:8cb1d2ac2c9ee66f77bd8a5c9e54df1621cbc3e1873149f67eef691b173cd6c2

Observation 1e43a08b-9d56-4798-bb55-1e1efed70b00 · outbound

This paper cites Generating Literature-Driven Scientific Theories at Scale.

Hidden-State Privacy Has an Empty Middle Generating Literature-Driven Scientific Theories at Scale

Reference 20

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source=pdf_text observed=2026-07-12T16:14:01.560420Z digest=sha256:4ace33599712f5f1ef6d3c99185a8841c74032e8df43f16c35424b0758326958

Observation 311b6c83-6a49-44ff-bea3-821e206556af · outbound

This paper cites Active symbolic discovery of ordinary differential equations via phase portrait sketching.

Hidden-State Privacy Has an Empty Middle Active symbolic discovery of ordinary differential equations via phase portrait sketching

Reference 21

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source=pdf_text observed=2026-07-12T16:14:01.560420Z digest=sha256:588a63ac0168d19b5b5dcfe41dd91f6aca2f5bad276c3545a70a5e1aa625dc9a

Observation 92455533-8825-41c8-820d-5bb9faf68e63 · outbound

This paper cites an unresolved cited work.

Hidden-State Privacy Has an Empty Middle Unresolved cited work

Reference 22

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source=pdf_text observed=2026-07-12T16:14:01.560420Z digest=sha256:1693eaf820ae1738be2b0fdb1833ed83c25b4cb3efd40c049e709f8a7dbc33d5

Observation dca32266-30bc-4401-896b-7b961336bf87 · outbound

This paper cites On-the- fly closed-loop materials discovery via bayesian active learning.Nature communications, 11(1):5966, 2020.

Hidden-State Privacy Has an Empty Middle On-the- fly closed-loop materials discovery via bayesian active learning.Nature communications, 11(1):5966, 2020

Reference 23

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source=pdf_text observed=2026-07-12T16:14:01.560420Z digest=sha256:8c71c49dec7d5649ea053fe2ede07f42425a55ef47ba3a7387da775b37d84ad3

Observation ae7fec57-b416-49b5-82ab-17b7982482f3 · outbound

This paper cites Kyro, Anton Morgunov, Rafael I.

Hidden-State Privacy Has an Empty Middle Kyro, Anton Morgunov, Rafael I

Reference 24

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source=pdf_text observed=2026-07-12T16:14:01.560420Z digest=sha256:38dfe365eeb3dd64269da52ecd7ed9ad645b6d8151bfd8e474c4e58a698b1450

Observation 0dc72f68-88f6-4b31-8dfc-723c8314501a · outbound

This paper cites Integrated systems for computational scientific discovery.Proceedings of the AAAI Conference on Artificial Intelligence, 38(20):22598–22606, Mar.

Hidden-State Privacy Has an Empty Middle Integrated systems for computational scientific discovery.Proceedings of the AAAI Conference on Artificial Intelligence, 38(20):22598–22606, Mar

Reference 25

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source=pdf_text observed=2026-07-12T16:14:01.560420Z digest=sha256:a97baf59d087600e8110f051b44c3bb8976e04fe5ea55885dd0501a954f869f7

Observation af508e97-c793-40d8-8112-2b09c72d3602 · outbound

This paper cites an unresolved cited work.

Hidden-State Privacy Has an Empty Middle Unresolved cited work

Reference 26

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source=pdf_text observed=2026-07-12T16:14:01.560420Z digest=sha256:a29fd3e317e1b09f7c2f6c5f4ade69e140c1895d3bf78a74a0fcd986e73e7f46

Observation 14034c23-f6e9-4af6-af05-f8c8643b83c0 · outbound

This paper cites an unresolved cited work.

Hidden-State Privacy Has an Empty Middle Unresolved cited work

Reference 27

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source=pdf_text observed=2026-07-12T16:14:01.560420Z digest=sha256:b97cc5e0b4585f65d8d28f4dfc41371229a88524624f03c6f7425d4b2e92bd25

Observation 99c8b8f6-56c9-4214-8e83-877b49e1a38a · outbound

This paper cites Data-driven Discovery with Large Generative Models.

Hidden-State Privacy Has an Empty Middle Data-driven Discovery with Large Generative Models

Reference 28

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source=pdf_text observed=2026-07-12T16:14:01.560420Z digest=sha256:9609f68e7c539029092a6af6c0dbf0100d70fd7748621d731f7e016290f40cc6

Observation f0dcb685-e30d-420c-999e-8e16590cdd38 · outbound

This paper cites Melnikov, Hendrik Poulsen Nautrup, Mario Krenn, Vedran Dunjko, Markus Tiersch, Anton Zeilinger, and Hans J.

Hidden-State Privacy Has an Empty Middle Melnikov, Hendrik Poulsen Nautrup, Mario Krenn, Vedran Dunjko, Markus Tiersch, Anton Zeilinger, and Hans J

Reference 29

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source=pdf_text observed=2026-07-12T16:14:01.560420Z digest=sha256:66f974ee249dee07e8e503c5ae1e299bc3dcac314bba6a19b2c2d32e54317fc8

Observation 1777f9a5-e31f-4893-a40f-be2a1357b7f0 · outbound

This paper cites Practical optimal experiment design with probabilistic programs.

Hidden-State Privacy Has an Empty Middle Practical optimal experiment design with probabilistic programs

Reference 30

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source=pdf_text observed=2026-07-12T16:14:01.560420Z digest=sha256:79ff4e8eeeefc6684fabd45e8b447679dde25c8cd182e3dfb3dbb3db9b104125

Observation a3d3d00d-bb78-44d3-b09c-ef39dbdf5f51 · outbound

This paper cites Mundhenk, Claudio Prata Santiago, Soo Kyung Kim, and Joanne Taery Kim.

Hidden-State Privacy Has an Empty Middle Mundhenk, Claudio Prata Santiago, Soo Kyung Kim, and Joanne Taery Kim

Reference 31

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source=pdf_text observed=2026-07-12T16:14:01.560420Z digest=sha256:68308f15c35091958a8c5775f03d6035c0142dde5c22f3d1cc2616ecdc522136

Observation b002988f-3439-47b1-9143-203acec787b5 · outbound

This paper cites Jalihal, Jeffrey N.

Hidden-State Privacy Has an Empty Middle Jalihal, Jeffrey N

Reference 32

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source=pdf_text observed=2026-07-12T16:14:01.560420Z digest=sha256:152db0315d5edd4703e21ad4d8c60fbed38c6d926a61f8fe2997388fe2f38245

Observation 2a210420-f99c-4cd1-a149-8d55ef3cc057 · outbound

This paper cites Active learning for efficient discovery of optimal gene combinations in the combinatorial perturbation space.

Hidden-State Privacy Has an Empty Middle Active learning for efficient discovery of optimal gene combinations in the combinatorial perturbation space

Reference 33

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source=pdf_text observed=2026-07-12T16:14:01.560420Z digest=sha256:994e021c55812de48eb5988cdf18c8f6affac3e1a2b411d5ada32b67d3d5ffe1

Observation f8b8f1da-d500-44e8-bc86-69662488d9f2 · outbound

This paper cites Towards scientific discovery with generative ai: Progress, opportunities, and challenges.

Hidden-State Privacy Has an Empty Middle Towards scientific discovery with generative ai: Progress, opportunities, and challenges

Reference 34

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source=pdf_text observed=2026-07-12T16:14:01.560420Z digest=sha256:f81587038a2a3a36dbdf47c81878da9d04b100e97d9b60188686e69e22eaa64a

Observation 04150d5f-f50f-4a53-8d0b-57206a5560a7 · outbound

This paper cites Mathematical discoveries from program search with large language models.

Hidden-State Privacy Has an Empty Middle Mathematical discoveries from program search with large language models

Reference 35

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source=pdf_text observed=2026-07-12T16:14:01.560420Z digest=sha256:6f59dcf866df21a78b4503f830d307e4f3e8ad700e1b0ff804650a2759b01199

Observation fafe94be-cbe0-4364-bf9e-6a550f3d33bb · outbound

This paper cites Genenetweaver: in silico bench- mark generation and performance profiling of network inference methods.Bioinformatics, 27(16):2263–2270, 08 2011.

Hidden-State Privacy Has an Empty Middle Genenetweaver: in silico bench- mark generation and performance profiling of network inference methods.Bioinformatics, 27(16):2263–2270, 08 2011

Reference 36

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source=pdf_text observed=2026-07-12T16:14:01.560420Z digest=sha256:12b80b3aa7cacb3b21c3198fd38552045cb8a68be67e1106d20dfc891fdaff43

Observation f13bdeae-a759-4b5a-b8e5-581726726b58 · outbound

This paper cites an unresolved cited work.

Hidden-State Privacy Has an Empty Middle Unresolved cited work

Reference 37

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source=pdf_text observed=2026-07-12T16:14:01.560420Z digest=sha256:bb9a87732c4ae2e6806cba5ed19e832743c757eb9b17ebbf4927a52152f408f7

Observation 191aba48-63c6-43ae-a756-f981e150630c · outbound

This paper cites an unresolved cited work.

Hidden-State Privacy Has an Empty Middle Unresolved cited work

Reference 38

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Source-reported events for the cited work

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source=pdf_text observed=2026-07-12T16:14:01.560420Z digest=sha256:b8664201c590fb533ccff59708c4eb6b44916188ca4a50842d9b2535e057b15d

Observation ffa99c1b-01c5-4eb6-ac56-9726bf994183 · outbound

This paper cites Pdebench: An extensive benchmark for scientific machine learning.Advances in neural information processing systems, 35:1596–1611, 2022.

Hidden-State Privacy Has an Empty Middle Pdebench: An extensive benchmark for scientific machine learning.Advances in neural information processing systems, 35:1596–1611, 2022

Reference 39

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no resolver link, observed 2026-07-12T16:14:01.560420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T16:14:01.560420Z digest=sha256:afa5be18f1adbac0879efd00964a4403c4d026328dfdbd57f563ee552fe9f852

Observation 96c93829-fe3b-4772-bcfb-322261fa02d2 · outbound

This paper cites Ai feynman: A physics-inspired method for symbolic regression.Science advances, 6(16):eaay2631, 2020.

Hidden-State Privacy Has an Empty Middle Ai feynman: A physics-inspired method for symbolic regression.Science advances, 6(16):eaay2631, 2020

Reference 40

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unresolved
no resolver link, observed 2026-07-12T16:14:01.560420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T16:14:01.560420Z digest=sha256:9dd67c3c7233be7ba2a81b47fbcb1adeb92f39f8df281bafe3faa8185b7ec206

Observation 165e7e45-a37b-49d7-a6a7-943c46b54f26 · outbound

This paper cites Scientific discovery in the age of artificial intelligence.Nature, 620(7972):47–60, 2023.

Hidden-State Privacy Has an Empty Middle Scientific discovery in the age of artificial intelligence.Nature, 620(7972):47–60, 2023

Reference 41

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unresolved
no resolver link, observed 2026-07-12T16:14:01.560420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T16:14:01.560420Z digest=sha256:d8b0a2af220f68a69c6b49c3a7b0affbcbf4ba4789d992d5512dd1153f37e57e

Observation 094fc93f-f39c-42ee-9f44-880b5e794cd9 · outbound

This paper cites Efficient evolutionary search over chemical space with large language models.

Hidden-State Privacy Has an Empty Middle Efficient evolutionary search over chemical space with large language models

Reference 42

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unresolved
no resolver link, observed 2026-07-12T16:14:01.560420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T16:14:01.560420Z digest=sha256:2e4728f42a1ef81001a03b6ec0047bd6115e4fea4457e2be77d19e3bc80d2fc2

Observation 8fe4b918-49a6-4dc2-b3d5-adf3259caf11 · outbound

This paper cites Newtonbench: Benchmarking generalizable scientific law discovery in LLM agents.

Hidden-State Privacy Has an Empty Middle Newtonbench: Benchmarking generalizable scientific law discovery in LLM agents

Reference 43

Resolution
unresolved
no resolver link, observed 2026-07-12T16:14:01.560420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T16:14:01.560420Z digest=sha256:af9672613886eed2523227a1c4888488b77a9fb02c9ca16c6bd9233c9be4246b

Observation 77986e7a-1240-43d8-95e3-0bdc5f4b838b · outbound

This paper cites Dags with no tears: Continuous optimization for structure learning.Advances in neural information processing systems, 31, 2018.

Hidden-State Privacy Has an Empty Middle Dags with no tears: Continuous optimization for structure learning.Advances in neural information processing systems, 31, 2018

Reference 44

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unresolved
no resolver link, observed 2026-07-12T16:14:01.560420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T16:14:01.560420Z digest=sha256:6edd0412024c06b99db53ce291c208baed6314af65062e3813a282130684e207

Observation 007a56a2-0130-42f4-b4d5-0a42318e36f6 · outbound

This paper cites bounds": {.

Hidden-State Privacy Has an Empty Middle bounds": {

Reference 45

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malformed identifier
no resolver link, observed 2026-07-12T16:14:01.560420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T16:14:01.560420Z digest=sha256:abbb3b6ea596e9a9c29809bbbd2d5cfcd0e1fa02972574bf0459841d1a16cf31

Pith citing papers

No inbound Pith citation observations are available.