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Paper Citation Record · LEDGER

Institutional Red-Teaming: Deployment Rules, Not Just Models, Causally Shape Multi-Agent AI Safety

As of 7 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2607.07695.

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

pith.paper-citation-record.v1
2607.07695 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-09T02:17:34.473738Z

measured 25 of 25 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

25 of 25 outbound references displayed

  • verified exact6
  • verified fuzzy16
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9cc9dcca-8bb7-48d8-9568-96c97b369a50 · outbound

This paper cites Concrete Problems in AI Safety.

Institutional Red-Teaming: Deployment Rules, Not Just Models, Causally Shape Multi-Agent AI Safety Concrete Problems in AI Safety

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-07-09T02:25:55.828158Z

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=2026-07-09T02:17:34.473738Z digest=sha256:4ff456d39580eee92cc5ff4283c2e66286e121493838aa9ce31a1cf522fd55dc

Observation ec0cd745-367c-4763-9183-a05e0177cfb6 · outbound

This paper cites an unresolved cited work.

Institutional Red-Teaming: Deployment Rules, Not Just Models, Causally Shape Multi-Agent AI Safety Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-07-09T02:25:56.008612Z

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=2026-07-09T02:17:34.473738Z digest=sha256:ad6129366b94b70c0d52373d1bf038a6252b7b83f76991dc49a49fb5f1740cbb

Observation 4be434e6-b3d7-4000-b4ca-e060e0c7e211 · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

Institutional Red-Teaming: Deployment Rules, Not Just Models, Causally Shape Multi-Agent AI Safety Constitutional AI: Harmlessness from AI Feedback

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-07-09T02:25:55.811009Z

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=2026-07-09T02:17:34.473738Z digest=sha256:43def43e6821875ba83d1769b9bb067747e94a0bf86301e7abda6819a9d3a783

Observation 63bcabe1-a474-4187-a067-0c06b3a8122b · outbound

This paper cites Measuring Progress on Scalable Oversight for Large Language Models.

Institutional Red-Teaming: Deployment Rules, Not Just Models, Causally Shape Multi-Agent AI Safety Measuring Progress on Scalable Oversight for Large Language Models

Reference 4

Resolution
metadata mismatch
local_arxiv, observed 2026-07-09T02:25:55.820061Z

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=2026-07-09T02:17:34.473738Z digest=sha256:6c5b0c181b84357355edcd8476b174d4051b3a77a658ec6f26d0e63c7f346e2b

Observation c1385ccd-cc2e-44c2-b706-b0cb052ecd31 · outbound

This paper cites Artificial intelligence, algorithmic pricing, and collusion.

Institutional Red-Teaming: Deployment Rules, Not Just Models, Causally Shape Multi-Agent AI Safety Artificial intelligence, algorithmic pricing, and collusion

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T02:25:55.991252Z

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=2026-07-09T02:17:34.473738Z digest=sha256:89592bd6507551a9bd97fa8c0c808b835282d16beca6c11b1d8a3cba434ea5c3

Observation 8309edc5-9180-42fa-b6cc-5f8031eb94b7 · outbound

This paper cites Christiano, Jan Leike, Tom B.

Institutional Red-Teaming: Deployment Rules, Not Just Models, Causally Shape Multi-Agent AI Safety Christiano, Jan Leike, Tom B

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T02:25:55.993239Z

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=2026-07-09T02:17:34.473738Z digest=sha256:72e8d519e3deae00365636c2550485c5ef248d0bb1dfba518a369daba3e27577

Observation e5f3efc1-41b8-42de-9547-f3e85dc455b2 · outbound

This paper cites Safety Cases: How to Justify the Safety of Advanced AI Systems.

Institutional Red-Teaming: Deployment Rules, Not Just Models, Causally Shape Multi-Agent AI Safety Safety Cases: How to Justify the Safety of Advanced AI Systems

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-07-09T02:25:55.816859Z

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=2026-07-09T02:17:34.473738Z digest=sha256:50295f2c436070396fce6fad48e74237f29fd8870cdfd97b40b213d2f47dbe9e

Observation 604ca46f-5ffd-4d83-a738-fda35bb8d7cf · outbound

This paper cites Open Problems in Cooperative AI.

Institutional Red-Teaming: Deployment Rules, Not Just Models, Causally Shape Multi-Agent AI Safety Open Problems in Cooperative AI

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-07-09T02:25:55.823117Z

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=2026-07-09T02:17:34.473738Z digest=sha256:796c08399a4872762bfd7e73958567360ecd3065b0a444187de0ef02fa314dbe

Observation b73b9771-f86c-46de-9a4c-5bf44ab2e32b · outbound

This paper cites Cooperative AI : Machines must learn to find common ground.

Institutional Red-Teaming: Deployment Rules, Not Just Models, Causally Shape Multi-Agent AI Safety Cooperative AI : Machines must learn to find common ground

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T02:25:55.995017Z

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=2026-07-09T02:17:34.473738Z digest=sha256:6ac0974070f49fba36e0af94a9f67acf2d9fb3e7d30f14bd47897d2b497da6f3

Observation bb027483-e77c-4896-b9f0-25b1bd115a16 · outbound

This paper cites Volunteer's dilemma.

Institutional Red-Teaming: Deployment Rules, Not Just Models, Causally Shape Multi-Agent AI Safety Volunteer's dilemma

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T02:25:55.985692Z

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=2026-07-09T02:17:34.473738Z digest=sha256:9ed834bbf8cf40f076195384c2d5355099be988cff17e1bcde4e0892b9c9e6de

Observation e23a5807-bbb1-4f14-a24f-23c18734af92 · outbound

This paper cites Manipulation of voting schemes: A general result.

Institutional Red-Teaming: Deployment Rules, Not Just Models, Causally Shape Multi-Agent AI Safety Manipulation of voting schemes: A general result

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T02:25:55.983930Z

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=2026-07-09T02:17:34.473738Z digest=sha256:6b0e4633e1c86ebde050eda198223ed0afa8e226d0919b84df494dfdaedfd201

Observation b43e4452-77ca-4171-931e-0eee3aeda8a4 · outbound

This paper cites Multi-Agent Risks from Advanced AI.

Institutional Red-Teaming: Deployment Rules, Not Just Models, Causally Shape Multi-Agent AI Safety Multi-Agent Risks from Advanced AI

Reference 12

Resolution
metadata mismatch
local_arxiv, observed 2026-07-09T02:25:55.813969Z

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=2026-07-09T02:17:34.473738Z digest=sha256:fe9ad174fab58bef8103cffce48c2494a668636e93baa6f63cba1305333edaa3

Observation 0bfe0557-59e6-43d2-8880-be03840cd2ec · outbound

This paper cites Harsanyi and Reinhard Selten.

Institutional Red-Teaming: Deployment Rules, Not Just Models, Causally Shape Multi-Agent AI Safety Harsanyi and Reinhard Selten

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T02:25:56.012359Z

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=2026-07-09T02:17:34.473738Z digest=sha256:5cf117f9cef6bbdfe68d3322e19dcd64f84a7dc49a4b8a774ca12e035c867dc8

Observation 90684dd4-1175-4c1a-bff6-b2a94bf75613 · outbound

This paper cites On informationally decentralized systems.

Institutional Red-Teaming: Deployment Rules, Not Just Models, Causally Shape Multi-Agent AI Safety On informationally decentralized systems

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T02:25:55.987539Z

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=2026-07-09T02:17:34.473738Z digest=sha256:3390547b0d38d3d0524ad0422a9c9d44eeb907d9e3c5f35f68a6191cdb7c90fb

Observation 2648b788-25ac-43eb-b1ec-441e5f75d7ef · outbound

This paper cites AI safety via debate.

Institutional Red-Teaming: Deployment Rules, Not Just Models, Causally Shape Multi-Agent AI Safety AI safety via debate

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-07-09T02:25:55.825647Z

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=2026-07-09T02:17:34.473738Z digest=sha256:8ac4ee24a0402c6677352f7fab1a457eeb382137850662698951778cf616e3a2

Observation a9f8da25-58ae-4964-b935-2305a2564743 · outbound

This paper cites The goal structuring notation -- a safety argument notation.

Institutional Red-Teaming: Deployment Rules, Not Just Models, Causally Shape Multi-Agent AI Safety The goal structuring notation -- a safety argument notation

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T02:25:55.997258Z

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=2026-07-09T02:17:34.473738Z digest=sha256:f180466339eee0ba2e51f446df9e5b3ae0a012bc83353342833b6b59202b427d

Observation 2b919db6-6379-464c-9052-f9f471d2e8d7 · outbound

This paper cites Leibo et al.

Institutional Red-Teaming: Deployment Rules, Not Just Models, Causally Shape Multi-Agent AI Safety Leibo et al

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T02:25:55.989230Z

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=2026-07-09T02:17:34.473738Z digest=sha256:59b7519f54a329ec081b1c93388250257e3ff7d50d4464096faf3d3363c02678

Observation 9b1e88d6-5e23-498d-989e-941044354a45 · outbound

This paper cites Zoom in: An introduction to circuits.

Institutional Red-Teaming: Deployment Rules, Not Just Models, Causally Shape Multi-Agent AI Safety Zoom in: An introduction to circuits

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T02:25:56.006870Z

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=2026-07-09T02:17:34.473738Z digest=sha256:2d0a53ee732a039822d292e45c48a4dcec75e52b1be0b09b3f144447a167081e

Observation 6bb7cb02-0b1d-4fc9-9f37-e982c5098326 · outbound

This paper cites Training language models to follow instructions with human feedback.

Institutional Red-Teaming: Deployment Rules, Not Just Models, Causally Shape Multi-Agent AI Safety Training language models to follow instructions with human feedback

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T02:25:56.005226Z

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=2026-07-09T02:17:34.473738Z digest=sha256:ab448f0ba4edc289590a0afb890546f4efa38b62a506da9e6f8658e9d3fb175c

Observation dbd56635-57da-46f8-95e8-6f3cbc8f2657 · outbound

This paper cites Palfrey and Howard Rosenthal.

Institutional Red-Teaming: Deployment Rules, Not Just Models, Causally Shape Multi-Agent AI Safety Palfrey and Howard Rosenthal

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T02:25:56.001080Z

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=2026-07-09T02:17:34.473738Z digest=sha256:3c22c9285f6063e615b2eb94554c659fc2f618fbb47a55c7dd1356e90228301c

Observation bd6cdece-bc2c-4393-9875-d836bf2bfd17 · outbound

This paper cites Manning, and Chelsea Finn.

Institutional Red-Teaming: Deployment Rules, Not Just Models, Causally Shape Multi-Agent AI Safety Manning, and Chelsea Finn

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T02:25:55.999296Z

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=2026-07-09T02:17:34.473738Z digest=sha256:badc0f98d72cce624db33727c295a8b54588a8f803a928ac420c0180c102d894

Observation 24581905-2e8c-4aff-8a2c-bb362b5a19a1 · outbound

This paper cites Satterthwaite.

Institutional Red-Teaming: Deployment Rules, Not Just Models, Causally Shape Multi-Agent AI Safety Satterthwaite

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T02:25:55.981956Z

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=2026-07-09T02:17:34.473738Z digest=sha256:70586441affb964235c32a4860ff90e228bc30485f38712898be9c55ab1395a8

Observation f2c3f40e-abee-4de0-9d3b-c981f74ddddf · outbound

This paper cites Schelling.

Institutional Red-Teaming: Deployment Rules, Not Just Models, Causally Shape Multi-Agent AI Safety Schelling

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T02:25:56.003224Z

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=2026-07-09T02:17:34.473738Z digest=sha256:023ab9546e7eb834fbfccf35d44139484210c27f94d25b95629e7347eec88335

Observation 59d610ec-79db-4de2-a727-6397a01f0799 · outbound

This paper cites Institutional AI : Governing LLM collusion in multi-agent cournot markets via public governance graphs.

Institutional Red-Teaming: Deployment Rules, Not Just Models, Causally Shape Multi-Agent AI Safety Institutional AI : Governing LLM collusion in multi-agent cournot markets via public governance graphs

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-07-09T02:25:55.807065Z

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=2026-07-09T02:17:34.473738Z digest=sha256:36bbcfa8b8b8dc1dfc57ba4178a7845815439a8e478e5392ccae92604e5a680d

Observation 5acffc71-11fc-41f6-99a1-a6f4dfa41dbf · outbound

This paper cites On the nonexistence of a dominant strategy mechanism for making optimal public decisions.

Institutional Red-Teaming: Deployment Rules, Not Just Models, Causally Shape Multi-Agent AI Safety On the nonexistence of a dominant strategy mechanism for making optimal public decisions

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T02:25:56.010448Z

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=2026-07-09T02:17:34.473738Z digest=sha256:5e8e76e2c3ebcd92b592a8acfafc0a0e92799f10aa0057edfc2d46ac86a3d61a

Pith citing papers

No inbound Pith citation observations are available.