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Paper Citation Record · LEDGER

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

As of 13 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 1 inbound Pith citation observation 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 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:56:02.858113Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-11T05:56:02.967811Z

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-07-09T02:17:34.473738Z digest=sha256:2364276ab36ab9a739110296c83c4a84b391f2e17bdce8289238adec3c2253f3

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-07-09T02:17:34.473738Z digest=sha256:3ab50905aac48e628b4227f9d9e42774e035e6679e68b2bc853828d6737ca136

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-07-09T02:17:34.473738Z digest=sha256:fb9e34c74f56c4ddaf7535b1b54e20aeec55b3558b489f68d5904b7e137f1961

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-07-09T02:17:34.473738Z digest=sha256:89997076158d0fd58ad0ddfeed45f4a1dfa2a5ef87968e0058981ff801bfb3a6

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-07-09T02:17:34.473738Z digest=sha256:4318493c9413bc8bebe34dd8c91104d4a259424d9e15887dbbdab2d9a18eaa24

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-07-09T02:17:34.473738Z digest=sha256:98074743db1a68ece4a0452c2d7a06dc6ab5eb4bec0fecaa2efcfd7c56d50ece

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-07-09T02:17:34.473738Z digest=sha256:45370d544ef6fac18b31ced234abafda1b0f30aa65129b424950251fc3dc8e9f

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-07-09T02:17:34.473738Z digest=sha256:f0462ea668e385f9442c474210cbe4ccdbe008f6e6ed63c168a83cd69a91047f

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-07-09T02:17:34.473738Z digest=sha256:ff9c44d83604f7a1b23901790c2a25ec92cd008e654012b09d707c58997b5f01

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-07-09T02:17:34.473738Z digest=sha256:a3a39bf20358e6f5ae738869476fa46888b37dedbea11e2b0cf502b12c71e156

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-07-09T02:17:34.473738Z digest=sha256:803d96dd6b86413b845fd27ddea8d54a8b20889c7e95018a2aabc8b7896cda0c

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-07-09T02:17:34.473738Z digest=sha256:a07b88d4d96759a12de5a54c99da65e68b55b5e72d0200c27c883d8d35cc7298

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-07-09T02:17:34.473738Z digest=sha256:d67d630c5df5564895ac0a20a52f40856c0cc8a4dee19c18df05dd4c9bb5c47f

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-07-09T02:17:34.473738Z digest=sha256:9248fb7a2f1d00b8b53f563cb316aae10bd77a2e0d52f10b4bad0cfd26047b82

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-07-09T02:17:34.473738Z digest=sha256:fb87cecd3207dd2023a8e94ae23de257d1808aa02d6fa673425ef5e5f99b085f

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-07-09T02:17:34.473738Z digest=sha256:019e1dc477bb2b832414ca9edd20106b8b6f69ee10525ca50f066208718fb829

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-07-09T02:17:34.473738Z digest=sha256:001187df759123e8068f99cd7d814a102df3a308a514d9c65b6057613953f032

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-07-09T02:17:34.473738Z digest=sha256:0df086cc37a0bc0535df11999f3ad5472a405c2ba4a30ead0885844a0b9a64e1

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-07-09T02:17:34.473738Z digest=sha256:d8286ab42481f1f5ed6f3e87d516e17aba59b3c2844611c57807c91ed37c07a5

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-07-09T02:17:34.473738Z digest=sha256:26b92382fe637f79a3988155c5915c78831a355b104b8bf047843cab10aa9139

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-07-09T02:17:34.473738Z digest=sha256:9576ccbf1280932fa878d7b8536d51465f37c473c7dc2f47f84e3ee357f6ba44

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-07-09T02:17:34.473738Z digest=sha256:2c04468a8ca3034bc73b00a6f97a7f43dc1b83b2464468c150433f3acefb284f

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-07-09T02:17:34.473738Z digest=sha256:75585721602283bd96f07c3d2cb54818ee84932deb7e0f75b5f10c7d0e2b8847

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-07-09T02:17:34.473738Z digest=sha256:3f53ce83771ed08c68368ebf5c1c877b17d366b2b23ec973fdff30f7479f8374

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-07-09T02:17:34.473738Z digest=sha256:625953f89f04b36d47a81ac0affc968be731d3d499943b2db4711879ba17051c

Pith citing papers

Observation 419dd9b1-738f-4393-9187-40a6adad193e · inbound

Multi-Agent AI Safety as an Institutional Design Problem cites this paper.

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

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-08-11T05:56:02.972675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T05:56:02.858113Z digest=sha256:c97c8c5af278a2e06423c48669e1aaec9e1aa3c467c87066b6373523132fe5d4