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Paper Citation Record · LEDGER

State-dependent error correlations shape voting thresholds in committees of AI agents

As of 7 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2607.23931.

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

pith.paper-citation-record.v1
2607.23931 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T23:35:41.404280Z

measured 48 of 48 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.

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measured 0 of 1 external citation measurements

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Reference resolution

48 of 48 outbound references displayed

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Outbound references

Observation 733ad179-b88d-4648-90b8-2fb0e6c1551a · outbound

This paper cites Stiglitz.

State-dependent error correlations shape voting thresholds in committees of AI agents Stiglitz

Reference 1

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Observation c6340c15-68e8-4ab3-8a35-51a235a20a21 · outbound

This paper cites Stiglitz.

State-dependent error correlations shape voting thresholds in committees of AI agents Stiglitz

Reference 2

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Observation e9fed347-02f9-4432-9933-f5633593d94a · outbound

This paper cites Committees,hierarchiesandpolyarchies.TheEconomicJournal, 98(391):451–470, 1988.

State-dependent error correlations shape voting thresholds in committees of AI agents Committees,hierarchiesandpolyarchies.TheEconomicJournal, 98(391):451–470, 1988

Reference 3

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source=pdf_text observed=2026-07-31T23:35:36.969420Z digest=sha256:3c6dbc7f7b1286270863fa27bec3cc5717a536ac404725fd7d283d620e0623bf

Observation 75327bad-4771-468c-b32d-add33588662b · outbound

This paper cites Xing, Hao Zhang, Joseph E.

State-dependent error correlations shape voting thresholds in committees of AI agents Xing, Hao Zhang, Joseph E

Reference 4

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Observation b62a0065-96ec-4a7f-a06e-425799099dd3 · outbound

This paper cites Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models.

State-dependent error correlations shape voting thresholds in committees of AI agents Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models

Reference 5

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source=pdf_text observed=2026-07-31T23:35:37.182327Z digest=sha256:88d1d3bba9f45965e7c52d9ebd65cc01b4caad7a1d17e8458e0839784dc5f43d

Observation 0180b5e3-d1f2-4043-aad8-88a5a96d66a5 · outbound

This paper cites Improvingfactuality and reasoning in language models through multiagent debate.

State-dependent error correlations shape voting thresholds in committees of AI agents Improvingfactuality and reasoning in language models through multiagent debate

Reference 6

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source=pdf_text observed=2026-07-31T23:35:37.299544Z digest=sha256:fb2095a4a2b83137a4aa96e661c6013442c1bde221ea5f890e7c8b5b2bead115

Observation b50b76c9-4ac4-423b-9d08-f38a75d190df · outbound

This paper cites Mixture-of-agents enhances large language model capabilities.

State-dependent error correlations shape voting thresholds in committees of AI agents Mixture-of-agents enhances large language model capabilities

Reference 7

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source=pdf_text observed=2026-07-31T23:35:37.385506Z digest=sha256:5dc93836b9cb2e0ad27c5abc4859e638c8099080ae23e868d03810b687c290ab

Observation 18fee65d-eb4f-462c-be1f-bda4cea1c300 · outbound

This paper cites Autogen: Enabling next-gen LLM applications via multi-agent conversations.

State-dependent error correlations shape voting thresholds in committees of AI agents Autogen: Enabling next-gen LLM applications via multi-agent conversations

Reference 8

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source=pdf_text observed=2026-07-31T23:35:37.475553Z digest=sha256:cb86231c63fcf54cfe3d9b0155ccd41fcdac8cd0186be7661d227d6d184cbffb

Observation 21139bf8-2b35-4a29-9a6b-ac2ed900a024 · outbound

This paper cites Metagpt: Meta programming for a multi-agent collaborative framework.

State-dependent error correlations shape voting thresholds in committees of AI agents Metagpt: Meta programming for a multi-agent collaborative framework

Reference 9

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Observation d6b3cd5e-b6fd-4ae6-ab4d-d74cc8e076b1 · outbound

This paper cites Chateval: Towards better LLM-based evaluators through multi-agent debate.

State-dependent error correlations shape voting thresholds in committees of AI agents Chateval: Towards better LLM-based evaluators through multi-agent debate

Reference 10

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Observation 45d6ad5f-139c-4c33-8bdb-1389bd427ea9 · outbound

This paper cites Imprimerie Royale, Paris, 1785.

State-dependent error correlations shape voting thresholds in committees of AI agents Imprimerie Royale, Paris, 1785

Reference 11

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Observation bf7eb283-89ea-450e-98ed-4eb3ff5c2067 · outbound

This paper cites Self-consistency improves chain of thought reasoning in language models.

State-dependent error correlations shape voting thresholds in committees of AI agents Self-consistency improves chain of thought reasoning in language models

Reference 12

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Observation 96692da9-1748-4c1d-a94c-54d0efe64354 · outbound

This paper cites More Agents Is All You Need.

State-dependent error correlations shape voting thresholds in committees of AI agents More Agents Is All You Need

Reference 13

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source=pdf_text observed=2026-07-31T23:35:37.938757Z digest=sha256:0807d53ebcffeeb10e3f19dad15eadb97131957eed46b7d576b91ff256104e13

Observation 48394fd3-ad05-4b8a-b63f-bf22e2805994 · outbound

This paper cites Correlated errors in large language models.

State-dependent error correlations shape voting thresholds in committees of AI agents Correlated errors in large language models

Reference 14

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source=pdf_text observed=2026-07-31T23:35:38.095473Z digest=sha256:6bdc5aec888484cb142e78d653f63f4a5dfae256bc34161f72c5c0f53eb19e6b

Observation 73e30703-2963-40c5-bb64-4a82d4e82265 · outbound

This paper cites Chandra, Ponnurangam Kumaraguru, Douwe Kiela, Ameya Prabhu, Matthias Bethge, and Jonas Geiping.

State-dependent error correlations shape voting thresholds in committees of AI agents Chandra, Ponnurangam Kumaraguru, Douwe Kiela, Ameya Prabhu, Matthias Bethge, and Jonas Geiping

Reference 15

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Observation 29bbec2d-2cf3-47c3-89f6-aee9c8f0f840 · outbound

This paper cites an unresolved cited work.

State-dependent error correlations shape voting thresholds in committees of AI agents Unresolved cited work

Reference 16

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source=pdf_text observed=2026-07-31T23:35:38.311598Z digest=sha256:cf56314db287633522183ec1d9fa6f8c0494706454ad178cd6f7d8727c07fa7c

Observation 9e68ccfe-91a1-40fc-8bd8-1e5107deceda · outbound

This paper cites Modellingdependenceinsimpleandindirectmajority systems.Journal of Applied Probability, 26(1):81–88, 1989.

State-dependent error correlations shape voting thresholds in committees of AI agents Modellingdependenceinsimpleandindirectmajority systems.Journal of Applied Probability, 26(1):81–88, 1989

Reference 17

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source=pdf_text observed=2026-07-31T23:35:38.455114Z digest=sha256:d50873367e78f75b94224da907bca9736aa60d11bf881b36ab0a59b2df78d58c

Observation f2b8f2bf-aff9-49ce-bbd8-76ced37ad2bf · outbound

This paper cites MonotonicityinCondorcet’sjurytheoremwithdependentvoters.Social Choice and Welfare, 28(3):507–528, 2007.

State-dependent error correlations shape voting thresholds in committees of AI agents MonotonicityinCondorcet’sjurytheoremwithdependentvoters.Social Choice and Welfare, 28(3):507–528, 2007

Reference 18

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Observation da2a1d4d-9929-4487-8696-f80055ae24b7 · outbound

This paper cites Optimal jury design for homogeneous juries with correlated votes.Theory and Decision, 71(4):439–459, 2011.

State-dependent error correlations shape voting thresholds in committees of AI agents Optimal jury design for homogeneous juries with correlated votes.Theory and Decision, 71(4):439–459, 2011

Reference 19

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Observation b9be570c-3bb4-438f-af8e-7aecccb984e0 · outbound

This paper cites Optimal decision rules in uncertain dichotomous choice situations.

State-dependent error correlations shape voting thresholds in committees of AI agents Optimal decision rules in uncertain dichotomous choice situations

Reference 20

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Observation 90291df5-9c09-450f-ad9f-3ea38eb62790 · outbound

This paper cites Random forests.Machine Learning, 45(1):5–32, 2001.

State-dependent error correlations shape voting thresholds in committees of AI agents Random forests.Machine Learning, 45(1):5–32, 2001

Reference 21

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Observation 2af83e24-02b6-4403-9c93-597e74c922d8 · outbound

This paper cites Kuncheva and Christopher J.

State-dependent error correlations shape voting thresholds in committees of AI agents Kuncheva and Christopher J

Reference 22

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Observation 0437572f-c2ef-4e69-b60f-c214c1475ac0 · outbound

This paper cites Towards a Science of Scaling Agent Systems.

State-dependent error correlations shape voting thresholds in committees of AI agents Towards a Science of Scaling Agent Systems

Reference 23

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source=pdf_text observed=2026-07-31T23:35:38.979656Z digest=sha256:5b676ded4d621941783c18bc5d1c41682148c8235b65fc89d1e53b2375d6df91

Observation a47d86e2-000a-4fbc-a817-d2fee40e88d4 · outbound

This paper cites Too good to be true: When overwhelming evidence fails to convince.Proceedings of the Royal Society A, 472:20150748, 2016.

State-dependent error correlations shape voting thresholds in committees of AI agents Too good to be true: When overwhelming evidence fails to convince.Proceedings of the Royal Society A, 472:20150748, 2016

Reference 24

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source=pdf_text observed=2026-07-31T23:35:39.111227Z digest=sha256:369db044e07316d79cf4a1cea30edaa4e130c08ce1ae0a5fd93a7fd9d5dd6d83

Observation 1493d310-fb3c-49c7-9246-a7270b97301a · outbound

This paper cites Get your vitamin C! robust fact verification with contrastive evidence.

State-dependent error correlations shape voting thresholds in committees of AI agents Get your vitamin C! robust fact verification with contrastive evidence

Reference 25

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Observation a1e7d71c-49dc-4cbe-a48a-1889f600b6f6 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

State-dependent error correlations shape voting thresholds in committees of AI agents Training Verifiers to Solve Math Word Problems

Reference 26

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Observation e1b137c9-6042-4ffe-bfdf-f193bd034c66 · outbound

This paper cites Program Synthesis with Large Language Models.

State-dependent error correlations shape voting thresholds in committees of AI agents Program Synthesis with Large Language Models

Reference 27

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Observation e5404d01-e099-4695-9efa-f9e18432b7d3 · outbound

This paper cites Truthfulqa: Measuring how models mimic human falsehoods.

State-dependent error correlations shape voting thresholds in committees of AI agents Truthfulqa: Measuring how models mimic human falsehoods

Reference 28

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Observation d3a27135-4b98-44b7-8eb2-0dfd698bac18 · outbound

This paper cites Replication package: Correlated errors determine the optimal architecture of AI-agent organizations.

State-dependent error correlations shape voting thresholds in committees of AI agents Replication package: Correlated errors determine the optimal architecture of AI-agent organizations

Reference 29

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Observation 1717dee0-6668-43f1-adbb-84d9e068ebb6 · outbound

This paper cites Yale University Press, New Haven, 1972.

State-dependent error correlations shape voting thresholds in committees of AI agents Yale University Press, New Haven, 1972

Reference 30

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Observation 499a2691-ec38-4c1b-9546-1ce3e2d29ae2 · outbound

This paper cites Design of decision-making organizations.Management Science, 56(1):71–89, 2010.

State-dependent error correlations shape voting thresholds in committees of AI agents Design of decision-making organizations.Management Science, 56(1):71–89, 2010

Reference 31

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Observation a2955769-8fbc-47b3-aacc-08f0170645cc · outbound

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State-dependent error correlations shape voting thresholds in committees of AI agents Unresolved cited work

Reference 32

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Observation 7f14607d-dc6e-4115-b462-0f5a96369988 · outbound

This paper cites Neural network ensembles, cross validation, and active learning.

State-dependent error correlations shape voting thresholds in committees of AI agents Neural network ensembles, cross validation, and active learning

Reference 33

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Observation 069e78b6-362f-4ffd-993f-8b919a03a965 · outbound

This paper cites Dietterich.

State-dependent error correlations shape voting thresholds in committees of AI agents Dietterich

Reference 34

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Observation 7125f6b7-be42-4ea8-8f24-dc141fb5ed46 · outbound

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State-dependent error correlations shape voting thresholds in committees of AI agents Unresolved cited work

Reference 35

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source=pdf_text observed=2026-07-31T23:35:39.977803Z digest=sha256:3812b5d5ef686ea590801e5358960f71778502b5ee449ce0077c97c2e44a2ed8

Observation dc844bb1-4046-4828-8abd-3557f910a5d5 · outbound

This paper cites Davis-Stober, David V.

State-dependent error correlations shape voting thresholds in committees of AI agents Davis-Stober, David V

Reference 36

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source=pdf_text observed=2026-07-31T23:35:40.011500Z digest=sha256:74975608c1811426ee19c29875ee9f64d6e7489ed6380613e062c62e808485aa

Observation a4081fce-acb0-47bd-8bfa-3ab8d10ec638 · outbound

This paper cites Encouraging divergent thinking in large language models through multi-agent debate.

State-dependent error correlations shape voting thresholds in committees of AI agents Encouraging divergent thinking in large language models through multi-agent debate

Reference 37

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source=pdf_text observed=2026-07-31T23:35:40.162736Z digest=sha256:45926fc252780ca9297cf6eadc0f23fb9cd6cc7b2c0c8572cd94891d54707084

Observation fbade1eb-efa0-43e0-9cf5-645146d067be · outbound

This paper cites Algorithmic monoculture and social welfare.Proceedings of the National Academy of Sciences, 118(22):e2018340118, 2021.

State-dependent error correlations shape voting thresholds in committees of AI agents Algorithmic monoculture and social welfare.Proceedings of the National Academy of Sciences, 118(22):e2018340118, 2021

Reference 38

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source=pdf_text observed=2026-07-31T23:35:40.273655Z digest=sha256:6418e1474d60c9ccecba52fbb6208b0e00aadf013c044aed25cbe6faae1916ff

Observation fa970d48-eac1-42c6-bb6d-ec397f6e09ad · outbound

This paper cites Creel, Ananya Kumar, Dan Jurafsky, and Percy Liang.

State-dependent error correlations shape voting thresholds in committees of AI agents Creel, Ananya Kumar, Dan Jurafsky, and Percy Liang

Reference 39

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source=pdf_text observed=2026-07-31T23:35:40.380405Z digest=sha256:b67bcf65bc0916e1faa6b871e81c5a77f3e0d156e699b4c368dfc52ef94b1526

Observation 1248f02e-1f17-4221-9f7a-8ead9646a24d · outbound

This paper cites Multi-Agent Risks from Advanced AI.

State-dependent error correlations shape voting thresholds in committees of AI agents Multi-Agent Risks from Advanced AI

Reference 40

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source=pdf_text observed=2026-07-31T23:35:40.478454Z digest=sha256:0d4f45364e92ffdfb8c7c7be957311dce7543b3135a08d61e66a019938041a30

Observation 765c8667-dfae-4a05-9d2f-d2d7ba51b553 · outbound

This paper cites AI models collapse when trained on recursively generated data.Nature, 631:755–759, 2024.

State-dependent error correlations shape voting thresholds in committees of AI agents AI models collapse when trained on recursively generated data.Nature, 631:755–759, 2024

Reference 41

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source=pdf_text observed=2026-07-31T23:35:40.621155Z digest=sha256:d7cd7864d27c2d7f0cb61033f753373a2fee570837954a2e544a19af8718962e

Observation 97538529-2b75-432f-994a-8f7b9bf75309 · outbound

This paper cites The distribution of loan portfolio value.Risk, 15(12):160–162, 2002.

State-dependent error correlations shape voting thresholds in committees of AI agents The distribution of loan portfolio value.Risk, 15(12):160–162, 2002

Reference 42

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source=pdf_text observed=2026-07-31T23:35:40.705454Z digest=sha256:64b76d52253c9655c0562432c04d0e0a549b6344f1f9f015318f39e6b683604f

Observation 2339e101-8782-4065-9682-699b5899a31e · outbound

This paper cites an unresolved cited work.

State-dependent error correlations shape voting thresholds in committees of AI agents Unresolved cited work

Reference 43

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source=pdf_text observed=2026-07-31T23:35:40.767309Z digest=sha256:9d3a42a50c80e1fe14cf9159d9418305f942379fda23e7c914b46dc819935700

Observation fdde26bc-d01b-476b-ae6f-34332cb28f72 · outbound

This paper cites The one-sided barrier problem for Gaussian noise.Bell System Technical Journal, 41(2): 463–501, 1962.

State-dependent error correlations shape voting thresholds in committees of AI agents The one-sided barrier problem for Gaussian noise.Bell System Technical Journal, 41(2): 463–501, 1962

Reference 44

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source=pdf_text observed=2026-07-31T23:35:40.900860Z digest=sha256:030bf6d458e094889b1ab0a6765db69fd28a117f3bc0a62fbbf116c849b0bdef

Observation 76636b65-9e1d-4c69-8802-056fa2f603f0 · outbound

This paper cites Plackett.

State-dependent error correlations shape voting thresholds in committees of AI agents Plackett

Reference 45

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source=pdf_text observed=2026-07-31T23:35:40.987676Z digest=sha256:41dbf0db07f0e36d396b7ede5864039e0efc245a0e9dcf4f35132df631b9e486

Observation 22f7f295-b633-4b40-961e-af3d5a99c9fb · outbound

This paper cites Mathematicalcontributionstothetheoryofevolution.VII.onthecorrelationofcharacters not quantitatively measurable.Philosophical Transactions of the Royal Society A, 195:1–47, 1900.

State-dependent error correlations shape voting thresholds in committees of AI agents Mathematicalcontributionstothetheoryofevolution.VII.onthecorrelationofcharacters not quantitatively measurable.Philosophical Transactions of the Royal Society A, 195:1–47, 1900

Reference 46

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source=pdf_text observed=2026-07-31T23:35:41.049404Z digest=sha256:aa1d886e71ad1b5287c91c4b8712269257cc5f43ce61cb93315acf239c1cb5af

Observation 577a81f2-a245-481f-98fb-2c280d3a4fd3 · outbound

This paper cites George Shanthikumar.Stochastic Orders.

State-dependent error correlations shape voting thresholds in committees of AI agents George Shanthikumar.Stochastic Orders

Reference 47

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source=pdf_text observed=2026-07-31T23:35:41.202557Z digest=sha256:5e871a556f82b114b2a66507bc4abb015f2d1ae11b5485958b9b47ac46885d03

Observation 84566e13-5106-4a12-9b2f-f5fa40863b74 · outbound

This paper cites Princeton UniversityPress,Princeton,1998.

State-dependent error correlations shape voting thresholds in committees of AI agents Princeton UniversityPress,Princeton,1998

Reference 48

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source=pdf_text observed=2026-07-31T23:35:41.404280Z digest=sha256:09589b5fe56a8ddd1fe9e9ea6cf504b02585ba285dcfca291f45c8431c483f7b

Pith citing papers

No inbound Pith citation observations are available.