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Paper Citation Record · LEDGER

Towards Automated Scoping of AI for Social Good Projects

As of 17 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2504.20010.

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

pith.paper-citation-record.v1
2504.20010 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:41:21.084262Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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 exact1
  • verified fuzzy3
  • unresolved32
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eaf2c557-df9d-4aca-b52b-8238e4e86385 · outbound

This paper cites ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models.

Towards Automated Scoping of AI for Social Good Projects ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models

Reference 1

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source=arxiv_source observed=2026-08-16T05:41:20.956645Z digest=sha256:9a8798debb2ca6940637da8436679a58330813c399a071e3f5f3503355e21d4d

Observation 51860182-fcc0-4da6-9012-c1742a6c53aa · outbound

This paper cites M.; Gebru, T.; McMillan-Major, A.; and Shmitchell, S.

Towards Automated Scoping of AI for Social Good Projects M.; Gebru, T.; McMillan-Major, A.; and Shmitchell, S

Reference 2

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source=arxiv_source observed=2026-08-16T05:41:20.961115Z digest=sha256:5d7fa2364620b03edb9e5a0218fd43edfc99c20c658ed825c89471972d1071ba

Observation f13055fc-fe51-4f69-a86c-c944b7149864 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Towards Automated Scoping of AI for Social Good Projects Evaluating Large Language Models Trained on Code

Reference 3

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source=arxiv_source observed=2026-08-16T05:41:20.965050Z digest=sha256:e6aa6c6851586f1f01754de21f03b68f230a7c4ae8554ced8a36e17303c75eaa

Observation bb65bf4c-037b-48f9-86e7-14ac3701c6fa · outbound

This paper cites an unresolved cited work.

Towards Automated Scoping of AI for Social Good Projects Unresolved cited work

Reference 4

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T05:41:20.969661Z digest=sha256:e9124071c9cb2f813de4549db334b5727f46c2ec7c043ad14721add389feaf8a

Observation e42e1172-0ea8-458b-a6ee-de8b18a5bcaa · outbound

This paper cites C.; and Taddeo, M.

Towards Automated Scoping of AI for Social Good Projects C.; and Taddeo, M

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T05:41:20.973700Z digest=sha256:7a403562c6ca8e375ce278416a22021b3a1d937a45e04ff7eb8a12ac807a574c

Observation 4f100921-0332-49eb-8cd9-f38a4903fb90 · outbound

This paper cites M.; Zhu, L.; Merrill, M.

Towards Automated Scoping of AI for Social Good Projects M.; Zhu, L.; Merrill, M

Reference 6

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source=arxiv_source observed=2026-08-16T05:41:20.977347Z digest=sha256:89bd4c938de3e8830512f2644093a38a33259301d5fc3f1b3db16e7a81d5496e

Observation d2e50393-19b5-48d8-881e-6ad8de0e012f · outbound

This paper cites Proof Artifact Co-training for Theorem Proving with Language Models.

Towards Automated Scoping of AI for Social Good Projects Proof Artifact Co-training for Theorem Proving with Language Models

Reference 7

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source=arxiv_source observed=2026-08-16T05:41:20.980974Z digest=sha256:fbcac95e93db9d0320592c75998195f2445c3c3b53a144599ec85683a3cfb046

Observation 4fab4ad2-36ee-4f6d-bdf8-b92bca17467e · outbound

This paper cites InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks.

Towards Automated Scoping of AI for Social Good Projects InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks

Reference 8

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source=arxiv_source observed=2026-08-16T05:41:20.984695Z digest=sha256:330645f5fab45a7adf4ddb1da7338de3daac3f4f1f5277cfb640c9110321e325

Observation 8c722c77-297f-47ed-9b27-6c754423433e · outbound

This paper cites Autonomous LLM-driven research from data to human-verifiable research papers.

Towards Automated Scoping of AI for Social Good Projects Autonomous LLM-driven research from data to human-verifiable research papers

Reference 9

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source=arxiv_source observed=2026-08-16T05:41:20.988511Z digest=sha256:5b996eaceafcc5d0d2dbd5a9898251d9cd734865fdff37b256daa897120ac8a1

Observation 1c24dcd4-26be-4fb0-b572-57e2e8d6ff44 · outbound

This paper cites Thor: Wielding Hammers to Integrate Language Models and Automated Theorem Provers.

Towards Automated Scoping of AI for Social Good Projects Thor: Wielding Hammers to Integrate Language Models and Automated Theorem Provers

Reference 10

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source=arxiv_source observed=2026-08-16T05:41:20.992089Z digest=sha256:71888efe7afb5840082db0d67442f93daa03dfaefa2ee607e01b31e668908249

Observation fb169eb3-4997-4dbc-a316-1f1c3b7d3aab · outbound

This paper cites Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs.

Towards Automated Scoping of AI for Social Good Projects Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs

Reference 11

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source=arxiv_source observed=2026-08-16T05:41:20.995458Z digest=sha256:4bb746db3b1961b6ea1755e491bcd9c20bf94ea56755b6c88c189a0f4719f843

Observation a22552aa-6bbe-406a-8fd0-82ac0a05c416 · outbound

This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.

Towards Automated Scoping of AI for Social Good Projects SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 12

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source=arxiv_source observed=2026-08-16T05:41:20.998874Z digest=sha256:7a28f1c54963179d1f3e9be601879ded81272dced1c295d78bf6c04765d65161

Observation 3464a219-a92d-4279-8fb4-a8b1b6e0c754 · outbound

This paper cites Conversational Agents as Catalysts for Critical Thinking: Challenging Design Fixation in Group Design.

Towards Automated Scoping of AI for Social Good Projects Conversational Agents as Catalysts for Critical Thinking: Challenging Design Fixation in Group Design

Reference 13

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source=arxiv_source observed=2026-08-16T05:41:21.002177Z digest=sha256:cd706f3f8fa24abd181f7731f313dab98c7cb2804ae3b9a747ccc58ca6cac557

Observation 39b5aa3c-70b7-4f05-9d58-dbcf8f833568 · outbound

This paper cites an unresolved cited work.

Towards Automated Scoping of AI for Social Good Projects Unresolved cited work

Reference 14

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source=arxiv_source observed=2026-08-16T05:41:21.005608Z digest=sha256:02bd673aaef9b65f8a188254f6536fa66558ad640a393b20900d864f62b8701a

Observation fb422dfe-fb92-402d-a16f-3530bfe351ce · outbound

This paper cites an unresolved cited work.

Towards Automated Scoping of AI for Social Good Projects Unresolved cited work

Reference 15

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T05:41:21.008985Z digest=sha256:8c91e7f146a71b1d12b637c79b03bd8737af6fd71553e3c007cbbc1aa3da91e3

Observation 64a2bf57-24a2-48c8-a112-a4411aec3a6b · outbound

This paper cites The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery.

Towards Automated Scoping of AI for Social Good Projects The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery

Reference 16

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source=arxiv_source observed=2026-08-16T05:41:21.012566Z digest=sha256:67e58d9e329a05225958c50691dc75ac91d46bf8bec6c93491c0de25cd7ca447

Observation 54ff94af-5b83-45be-aa7f-8e677a1742d1 · outbound

This paper cites LLM Evaluators Recognize and Favor Their Own Generations.

Towards Automated Scoping of AI for Social Good Projects LLM Evaluators Recognize and Favor Their Own Generations

Reference 17

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Observation 9a319592-1240-49ae-9bc3-1caf61fa82e9 · outbound

This paper cites J.; Kang, S.; Byon, Y.-J.; and Kho, S.-Y.

Towards Automated Scoping of AI for Social Good Projects J.; Kang, S.; Byon, Y.-J.; and Kho, S.-Y

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T05:41:21.019655Z digest=sha256:b87a9a43d1c78e5345486b840c4d1a6639db3714d0c8abec9d5d3e2f19682721

Observation 4249b76d-ec56-4a47-8fe3-c4f0e2312486 · outbound

This paper cites IdeaSynth: Iterative Research Idea Development Through Evolving and Composing Idea Facets with Literature-Grounded Feedback.

Towards Automated Scoping of AI for Social Good Projects IdeaSynth: Iterative Research Idea Development Through Evolving and Composing Idea Facets with Literature-Grounded Feedback

Reference 19

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source=arxiv_source observed=2026-08-16T05:41:21.022861Z digest=sha256:a4e6c69ede3da9d6778f53992d91d0cb9a71ff0183e87a7a70bef70f945f8a9f

Observation b3bbcf4d-04c6-43e5-a1e0-631ae6b32421 · outbound

This paper cites Human-LLM Compound System for Scientific Ideation through Facet Recombination and Novelty Evaluation.

Towards Automated Scoping of AI for Social Good Projects Human-LLM Compound System for Scientific Ideation through Facet Recombination and Novelty Evaluation

Reference 20

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source=arxiv_source observed=2026-08-16T05:41:21.026392Z digest=sha256:2394c31580f41cca451ec9a299aa3ef2f2c0d168e0969f09c87f3ff1e6a16514

Observation f5506831-28d0-4963-829e-1ac81517a5da · outbound

This paper cites an unresolved cited work.

Towards Automated Scoping of AI for Social Good Projects Unresolved cited work

Reference 21

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T05:41:21.029854Z digest=sha256:71b7ccffdc0cf4c1e617d7ea3ce2f9b6b3adf848f0470961054c70d3f33b6845

Observation d9e47dcc-a70e-423a-b00d-d3d9d07d355e · outbound

This paper cites Can Language Models Explain Their Own Classification Behavior?.

Towards Automated Scoping of AI for Social Good Projects Can Language Models Explain Their Own Classification Behavior?

Reference 22

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local_arxiv, observed 2026-08-16T05:41:21.211875Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T05:41:21.033065Z digest=sha256:44e846b32045760cac41b56f6d48fcbfa459429317d2e481f5a0fd454e41b210

Observation eda27624-48f5-471e-9c90-bef70fd983a7 · outbound

This paper cites Artificial Intelligence for Social Good: A Survey.

Towards Automated Scoping of AI for Social Good Projects Artificial Intelligence for Social Good: A Survey

Reference 23

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source=arxiv_source observed=2026-08-16T05:41:21.036658Z digest=sha256:38aa3740dfb89af4bd38361f9d366927196653d0172923c1f01bf6e949f2f0ea

Observation 0f803ddd-79d7-4ebf-938a-f978f49e1ef3 · outbound

This paper cites Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers.

Towards Automated Scoping of AI for Social Good Projects Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers

Reference 24

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source=arxiv_source observed=2026-08-16T05:41:21.040376Z digest=sha256:462ad110cec0ee4c603223cdb5d3c3a98d2817f5cf26be3656602d3aae0877ae

Observation 88d15ac1-63c5-4827-bd20-6385b7723dc6 · outbound

This paper cites an unresolved cited work.

Towards Automated Scoping of AI for Social Good Projects Unresolved cited work

Reference 25

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T05:41:21.043989Z digest=sha256:41a79e9ae81180bc43e61638852fd0f581846e083852234b2b965d4aa9888966

Observation 32b425d3-0f0e-4fca-919b-26ecfb153fdd · outbound

This paper cites Large Language Models are Inconsistent and Biased Evaluators.

Towards Automated Scoping of AI for Social Good Projects Large Language Models are Inconsistent and Biased Evaluators

Reference 26

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source=arxiv_source observed=2026-08-16T05:41:21.047526Z digest=sha256:1544642dbb29167e35c729aea00116d7ad3b3c899a29ccfa55a92ded48a72a90

Observation 96c7b2e4-c17f-461f-b8f9-bb7f039bafcc · outbound

This paper cites MacGyver: Are Large Language Models Creative Problem Solvers?.

Towards Automated Scoping of AI for Social Good Projects MacGyver: Are Large Language Models Creative Problem Solvers?

Reference 27

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source=arxiv_source observed=2026-08-16T05:41:21.051106Z digest=sha256:2e60ea849b1eb94cd28f1c18811679eb99a43b2dd898deb6ea56a93aed4a4298

Observation f58b2bd6-0280-4c00-b73d-67d077e4c7f4 · outbound

This paper cites DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data.

Towards Automated Scoping of AI for Social Good Projects DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data

Reference 28

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Observation 5fd36f06-6ab5-4d58-9674-6d00a1e41f34 · outbound

This paper cites Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs.

Towards Automated Scoping of AI for Social Good Projects Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs

Reference 29

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source=arxiv_source observed=2026-08-16T05:41:21.058465Z digest=sha256:7f7634666af519b68cf3294ff0a5fee83cd441332b4fb79cee33cbc4c00574e3

Observation b9506c6b-2e11-4e31-a13f-5b9b065aad6b · outbound

This paper cites an unresolved cited work.

Towards Automated Scoping of AI for Social Good Projects Unresolved cited work

Reference 30

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T05:41:21.062112Z digest=sha256:8863fce20dbda29a69313fe468122d7993b174a1d1e9a258742a0a71ce206a38

Observation 8c14da53-e91c-4225-80fc-34046c395d27 · outbound

This paper cites On Verbalized Confidence Scores for LLMs.

Towards Automated Scoping of AI for Social Good Projects On Verbalized Confidence Scores for LLMs

Reference 31

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source=arxiv_source observed=2026-08-16T05:41:21.065573Z digest=sha256:a634216cf49bdff3fb8bb7512448997e9bf2269c163c051c8ba49992d413bcc1

Observation 81cfb91d-3bda-4f2e-8046-845ed764424d · outbound

This paper cites Large Language Models for Automated Open-domain Scientific Hypotheses Discovery.

Towards Automated Scoping of AI for Social Good Projects Large Language Models for Automated Open-domain Scientific Hypotheses Discovery

Reference 32

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source=arxiv_source observed=2026-08-16T05:41:21.069249Z digest=sha256:dfc1291d1e8b9a1cbcef4a603a64856776460443f85765c55791dfda5ed0b9e3

Observation cbcd48dd-a5aa-4e46-8e58-9bf0787840b0 · outbound

This paper cites Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact.

Towards Automated Scoping of AI for Social Good Projects Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact

Reference 33

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source=arxiv_source observed=2026-08-16T05:41:21.073020Z digest=sha256:9a4c84a79424d569ea91440e4107e3efaabef72ecc1d1df89af4bc87afe76795

Observation 4508ff4c-4fd6-40bf-ab1a-eb0c8730435e · outbound

This paper cites u dder, B.; Gallucci, A.; Goffi, E. R.; Haase, C. B.; Hagendorff, T.; Kringen, P.; M \.

Towards Automated Scoping of AI for Social Good Projects u dder, B.; Gallucci, A.; Goffi, E. R.; Haase, C. B.; Hagendorff, T.; Kringen, P.; M \

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 3b63302c-011b-4733-9a68-df53e75514c3 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Towards Automated Scoping of AI for Social Good Projects , " * write output.state after.block = add.period write newline

Reference 35

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source=arxiv_source observed=2026-08-16T05:41:21.080004Z digest=sha256:f8cabe45a60010347cba8c956267a15011334cafd37c191cecf0c85522e747a1

Observation c07fc6ad-5221-49fd-854c-df5924ce9a96 · outbound

This paper cites write newline.

Towards Automated Scoping of AI for Social Good Projects write newline

Reference 36

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source=arxiv_source observed=2026-08-16T05:41:21.084262Z digest=sha256:7b4edf1c2f76632a742c17220af90f92b1a7863512e0c712eda703c35fea2aca

Pith citing papers

No inbound Pith citation observations are available.