Pith. sign in

Paper Citation Record · LEDGER

Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems

As of 5 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 1 inbound Pith citation observation for arXiv:2605.10481.

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

pith.paper-citation-record.v1
2605.10481 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-12T04:17:12.046360Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-09T20:14:36.433937Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T20:16:29.368662Z

Reference resolution

43 of 43 outbound references displayed

  • verified exact25
  • verified fuzzy11
  • unresolved0
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch6

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0e41f5f5-ec65-4f5b-8ffa-bf146f918165 · outbound

This paper cites Constrained policy optimization.

Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems Constrained policy optimization

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T15:46:40.654343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T04:17:12.046360Z digest=sha256:d13ebceedda61d2d57f6a083379d39e79049eccd7c93813df2c2e0910a4aa89d

Observation 697160dd-e5c9-4595-b9e3-e068cbfbc145 · outbound

This paper cites Constrained Policy Optimization.

Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems Constrained Policy Optimization

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:26:25.026703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T04:17:12.046360Z digest=sha256:957a8049cf5543d0bd709aebc7e8191e4583cebb2665a48a3d9bf9f3fe21e138

Observation f2fa0502-8d35-48ed-91b8-a378b2c57fec · outbound

This paper cites Concrete Problems in AI Safety.

Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems Concrete Problems in AI Safety

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-05-12T06:26:25.001570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T04:17:12.046360Z digest=sha256:4a915247e2638baa04e78588a9374bb85ac5c5c84fd205f3d7d88d710f65b592

Observation 463ce203-5838-47c1-a206-037974826236 · outbound

This paper cites Introducing the model context protocol.

Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems Introducing the model context protocol

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T15:46:40.677011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T04:17:12.046360Z digest=sha256:203dd754ed8d5cc7153b127422c5ad033b7a9741bf216aede94d4bbf71a50cf2

Observation 63e9c41e-8bca-4c6b-9257-613c1e8ae220 · outbound

This paper cites Claude code: Anthropic’s agentic coding system.

Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems Claude code: Anthropic’s agentic coding system

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T15:46:40.656606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T04:17:12.046360Z digest=sha256:6b2980c12be943ddb591762efbb119b23002526c3ed9698ca95f5a1287b1aa71

Observation e6520361-4e97-43b3-b790-11365d2727ab · outbound

This paper cites Demonstrating specification gaming in reasoning models.

Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems Demonstrating specification gaming in reasoning models

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T15:46:40.659022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T04:17:12.046360Z digest=sha256:d235cf2f4fd7536be1b97ce6ce1fbf23c721b57f5145d85381d4c16510ee3368

Observation a9622c9f-fcfc-4dec-853e-e585a89b4392 · outbound

This paper cites Open Problems in Cooperative AI.

Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems Open Problems in Cooperative AI

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:26:24.982610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T04:17:12.046360Z digest=sha256:14c6866ec758e76ae4cc66b7529885b3131ed5aa0728060dd0e3df15869ccef8

Observation 8f512b75-6b18-4819-a9fb-50ec2961aaf3 · outbound

This paper cites AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents.

Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-13T06:35:13.649872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T04:17:12.046360Z digest=sha256:eac363e48feb9c7cfb631c7e08dce16fdb2306f43525afd023e2f7f0fc46cfdd

Observation ced88b97-d309-4518-9a49-f5877bc0c850 · outbound

This paper cites Memory for autonomous llm agents: Mechanisms, evaluation, and emerging frontiers.

Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems Memory for autonomous llm agents: Mechanisms, evaluation, and emerging frontiers

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:26:25.060962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T04:17:12.046360Z digest=sha256:02d68edca74c1a8a6e6d55f405c794f32382e2c3d326fa80138dbc334dec547b

Observation c353a26d-5cff-435e-97f2-9b29a46421a6 · outbound

This paper cites Cox, Jaeyeon Jung, Patrick McDaniel, and Anmol N.

Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems Cox, Jaeyeon Jung, Patrick McDaniel, and Anmol N

Reference 10

Resolution
verified exact
doi, observed 2026-05-12T04:21:21.417928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T04:17:12.046360Z digest=sha256:e660fda8a62d1e768d62246d6d430c18d63bce4720a1b834272f4eb0ba4933e3

Observation 23b803be-36dd-4142-99ed-16d44fbd9f79 · outbound

This paper cites WASP: Benchmarking Web Agent Security Against Prompt Injection Attacks.

Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems WASP: Benchmarking Web Agent Security Against Prompt Injection Attacks

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-15T22:22:05.737978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T04:17:12.046360Z digest=sha256:50e7792c06d26d4cb18275dfba639f0b2f01ae3893bddfc9ee8075dbf38b646b

Observation 5a10951b-d1a3-4f68-90fd-9e6b30f66586 · outbound

This paper cites Agent control protocol (acp) v1.30 — admission control for agent actions.

Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems Agent control protocol (acp) v1.30 — admission control for agent actions

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T15:46:40.671687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T04:17:12.046360Z digest=sha256:fd5ca1dd75f9030a882d59006c397230494e0440fae76ce7fe6c88cab3193360

Observation d8d8f5fb-f349-44d4-80c5-842e5eaf3907 · outbound

This paper cites an unresolved cited work.

Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems Unresolved cited work

Reference 13

Resolution
verified exact
doi, observed 2026-05-12T04:21:21.397013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T04:17:12.046360Z digest=sha256:da00a66d22e108855f677adfde270c8251a8eb2cc656ddefd089cb58992933af

Observation d9d1afc6-effc-493d-9358-9fb19ae2deb2 · outbound

This paper cites Multi-Agent Risks from Advanced AI.

Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems Multi-Agent Risks from Advanced AI

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:26:24.921671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T04:17:12.046360Z digest=sha256:17df2f95754a34d12cdf1a7f2a4b8907724623cf15e74d80bb90bdc8b12f0575

Observation 8c0867cd-ffda-440e-951f-75c9d6052134 · outbound

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

Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 15

Resolution
metadata mismatch
local_arxiv, observed 2026-05-12T06:26:25.049202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T04:17:12.046360Z digest=sha256:e571e794cc30bde6b3cda625b1f6ecf8dc0b20dde48729431707c522d5b29d35

Observation 60a43beb-5289-4f99-b708-e1d2d1997623 · outbound

This paper cites A survey of safe reinforce- ment learning and constrained mdps: A technical survey on single-agent and multi-agent safety.

Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems A survey of safe reinforce- ment learning and constrained mdps: A technical survey on single-agent and multi-agent safety

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T15:46:40.682888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T04:17:12.046360Z digest=sha256:1c428cb327d4484ec0d1c8fb2a610605aa4495f48bf0e15c11e6935de7e410a3

Observation 57287db9-35ec-43c6-9dec-a6d527cd62c4 · outbound

This paper cites A Survey of Safe Reinforcement Learning and Constrained MDPs: A Technical Survey on Single-Agent and Multi-Agent Safety.

Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems A Survey of Safe Reinforcement Learning and Constrained MDPs: A Technical Survey on Single-Agent and Multi-Agent Safety

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-05-12T06:26:24.975932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T04:17:12.046360Z digest=sha256:d986560dfb319e612db850845c3d24de2859551b08dc364d81653f37cd377e2e

Observation 9f322f60-08c9-4e52-9d7d-47c7795fc384 · outbound

This paper cites LLMs Get Lost In Multi-Turn Conversation.

Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems LLMs Get Lost In Multi-Turn Conversation

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-14T01:11:09.632438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T04:17:12.046360Z digest=sha256:9c57761770da6f36e2552217ed4e2dfa5f88a1d75062e58a06696de6499dc683

Observation 9ad25708-607c-43e7-aebd-940389ebc41a · outbound

This paper cites Workflows and agents.

Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems Workflows and agents

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T15:46:40.674270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T04:17:12.046360Z digest=sha256:bca6e2c744e6835c524f9bfc99fee5f68ba3f9ff8e03c05f71ffdc97cb1f11b9

Observation 1bc17925-2df3-40e4-b0d0-53c169e8e098 · outbound

This paper cites Goal Misgeneralization in Deep Reinforcement Learning.

Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems Goal Misgeneralization in Deep Reinforcement Learning

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:26:24.987425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T04:17:12.046360Z digest=sha256:ced8d52610bcd19c3d4e7e7f15b1ed8f7fc62c2b7fab54fc78399caefe302cb5

Observation 07941958-df38-45d0-b677-86d593cf07de · outbound

This paper cites Prompt Infection: LLM-to-LLM Prompt Injection within Multi-Agent Systems.

Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems Prompt Infection: LLM-to-LLM Prompt Injection within Multi-Agent Systems

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-15T19:32:20.024903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T04:17:12.046360Z digest=sha256:5d36467b94ae459e02ec219b2a9fa677fb0dfa6ea4402ded88b6b11ddec2e3c1

Observation cae962ae-ad84-4ccb-b533-a07e98d9bbef · outbound

This paper cites Let's Verify Step by Step.

Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems Let's Verify Step by Step

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-05-12T06:26:24.970342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T04:17:12.046360Z digest=sha256:9113421edd71cd1185cf76f300f4269b3eb000c15721a0707511b6165df55202

Observation 3e6e83da-b8bb-46e3-8cf4-adcb083e0ffe · outbound

This paper cites Lost in the Middle: How Language Models Use Long Contexts.

Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems Lost in the Middle: How Language Models Use Long Contexts

Reference 23

Resolution
metadata mismatch
local_arxiv, observed 2026-05-12T06:26:24.870263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T04:17:12.046360Z digest=sha256:ff29881c17698b6c470ccbca101580197f6562186f5adfd4f82410118a7ac19a

Observation 2b4ccdbf-9cca-4954-bf49-6422a63444a8 · outbound

This paper cites Secret Collusion among AI Agents: Multi-Agent Deception via Steganography.

Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems Secret Collusion among AI Agents: Multi-Agent Deception via Steganography

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:26:24.942457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T04:17:12.046360Z digest=sha256:9165bb9c666c0459893138a5a0f7da97a5245eeafa4e6644196a03089839058e

Observation c268f3d3-3986-47df-9761-cff7a8fbb6c5 · outbound

This paper cites Myers and Barbara Liskov.

Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems Myers and Barbara Liskov

Reference 25

Resolution
verified exact
doi, observed 2026-05-12T04:21:21.411877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T04:17:12.046360Z digest=sha256:c108f98bcb921e749906f45dd981cfc4aa75fb2b46019ae56f354742a8af9042

Observation c0d5596f-ae0f-462c-83e9-259c08a7a14f · outbound

This paper cites Colosseum: Auditing Collusion in Cooperative Multi-Agent Systems.

Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems Colosseum: Auditing Collusion in Cooperative Multi-Agent Systems

Reference 26

Resolution
metadata mismatch
arxiv_id, observed 2026-05-28T02:04:14.756178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T04:17:12.046360Z digest=sha256:14a0ff4e9498dee298fbd663da788356514a3233c423ce323666213cf23550c4

Observation 6603a23d-1242-45a9-afeb-dd7c6e1c3a5f · outbound

This paper cites Introducing codex.

Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems Introducing codex

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T15:46:40.680132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T04:17:12.046360Z digest=sha256:f9b715e949e6d7cdcf6d87590d10d0d660c0d1d54ca1d0c2a59f3c7df118b4e9

Observation f2d42fb5-9510-4c2d-9fdd-5a7ca10d6735 · outbound

This paper cites Agents sdk.

Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems Agents sdk

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T15:46:40.661206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T04:17:12.046360Z digest=sha256:772dc7275873d94a5f26f1999ebb12a586b90cb3ef75ce146b1618bb5426b1de

Observation 2c864f4f-7302-424f-a049-25ac8baeb079 · outbound

This paper cites an unresolved cited work.

Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems Unresolved cited work

Reference 29

Resolution
parse uncertain
raw_fallback, observed 2026-05-12T15:46:40.664104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T04:17:12.046360Z digest=sha256:2a61260462fb18244e33649b6a37661571ca64f2b9156324365dda9c73c97c52

Observation e510bdb6-840f-4bdd-a859-4f3791dee15f · outbound

This paper cites PAC-BENCH: Evaluating Multi-Agent Collaboration under Privacy Constraints.

Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems PAC-BENCH: Evaluating Multi-Agent Collaboration under Privacy Constraints

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-05-12T06:26:24.964071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T04:17:12.046360Z digest=sha256:ae53da1ffa3d4b860cef2e976156eafe2fb4c2ff62058dd49ce8f534ddb6105d

Observation 5e388712-d37c-4cd1-9181-69ea57fd1c72 · outbound

This paper cites Aip: Agent identity protocol for verifiable delegation across mcp and a2a.

Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems Aip: Agent identity protocol for verifiable delegation across mcp and a2a

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:26:24.889860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T04:17:12.046360Z digest=sha256:0d0e5c8fca77579f1d2d5e77b57cef9a5327e9bdc00972b81a73ffd334cefd14

Observation fd968996-9c2d-43e5-8bbc-b6d5f9c17b37 · outbound

This paper cites Identifying the Risks of LM Agents with an LM-Emulated Sandbox.

Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems Identifying the Risks of LM Agents with an LM-Emulated Sandbox

Reference 32

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T20:45:24.770470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T04:17:12.046360Z digest=sha256:22f13c438fe2fbba964f4915345a08269219a5ce87284108c22597dc633fcc66

Observation d6fcf511-a850-42ff-9167-762566535dfe · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-05-12T06:26:24.952049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T04:17:12.046360Z digest=sha256:d4dcda6ef01d6c5d93390c6bd9cf630ee9e75059cb04c9c7265f22cb6d16edf1

Observation 595338ef-0775-4fcb-b2ca-3011d77ec1c0 · outbound

This paper cites Authenticated Delegation and Authorized AI Agents.

Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems Authenticated Delegation and Authorized AI Agents

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:26:24.876638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T04:17:12.046360Z digest=sha256:439f4c00fff5fa72dc0ea945b02d0e1b55da41b84764f3a55afb48ce9b8de433

Observation 0248ef91-3324-46ef-8c73-8758fb6dddf4 · outbound

This paper cites Announcing the agent2agent protocol (a2a).

Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems Announcing the agent2agent protocol (a2a)

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T15:46:40.669125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T04:17:12.046360Z digest=sha256:67c00a2c521696f4222da30e8edf302c67403363c10130e67d033d69bb664579

Observation 2fa5e13e-0f7b-4a13-8519-9e57836bb140 · outbound

This paper cites Mankowitz, and Shie Mannor.

Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems Mankowitz, and Shie Mannor

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T15:46:40.666677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T04:17:12.046360Z digest=sha256:161c212b495b9cabaed196c09336dc6d7fff09a9328c2e819e3e775703645a05

Observation 78867550-b0ea-4025-bf68-077a2892b235 · outbound

This paper cites Reward Constrained Policy Optimization.

Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems Reward Constrained Policy Optimization

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:26:25.031529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T04:17:12.046360Z digest=sha256:bcb028c4a888af3aa941b943bf38c19c4868b77c1ebc429a9c86bda3cf34f674

Observation 6ad7768c-6148-40e1-8996-65f04e5ea3fc · outbound

This paper cites OpenHands: An Open Platform for AI Software Developers as Generalist Agents.

Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems OpenHands: An Open Platform for AI Software Developers as Generalist Agents

Reference 38

Resolution
metadata mismatch
local_arxiv, observed 2026-05-12T06:26:24.996174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T04:17:12.046360Z digest=sha256:23e65af261dbbef5f64147b704bd3e654faf79cf5fe37423ac18188fb732d49e

Observation 34fcd044-cb80-47e4-bb20-7b46dbd5be0d · outbound

This paper cites AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation.

Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-05-12T06:26:24.901027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T04:17:12.046360Z digest=sha256:10345f1a56c4c1db0c12de095c78e7212446d8bed4372789378e13eed66fff0a

Observation 5a9b09ab-363a-4698-b805-78745c543b20 · outbound

This paper cites Agentleak: A full-stack benchmark for privacy leakage in multi-agent llm systems.

Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems Agentleak: A full-stack benchmark for privacy leakage in multi-agent llm systems

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:26:24.881771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T04:17:12.046360Z digest=sha256:bbb76a0b61076e8e2b5ef8ae4ecb663a867e8c604554f4664450496c61c45c00

Observation 511a4108-e906-4b3d-93ff-dcead6d715f8 · outbound

This paper cites SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering.

Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering

Reference 41

Resolution
metadata mismatch
local_arxiv, observed 2026-05-12T06:26:24.928914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T04:17:12.046360Z digest=sha256:e84b9d8330cc493455d3810de46ffced207f0cc9f3f6ba2f3dd15e2c6c6febdb

Observation 3bdb1c22-0f24-427c-8670-645fd4493487 · outbound

This paper cites InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents.

Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-13T21:40:06.567267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T04:17:12.046360Z digest=sha256:0662d6377fdfad8a6de56c2a96aed00188e8138e35d4915a5629c9a79ea3690e

Observation a622363b-fa8f-4ecd-b25a-da018f85922e · outbound

This paper cites Governing dynamic capabilities: Cryptographic binding and reproducibility verification for ai agent tool use.

Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems Governing dynamic capabilities: Cryptographic binding and reproducibility verification for ai agent tool use

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:26:25.010102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-12T04:17:12.046360Z digest=sha256:b79853ebe8bb0dbb000f5bbfc9af9fb578295efa9d85a37df74af13bd4e74c59

Pith citing papers

Observation d7591de6-7328-462e-a7f6-6d926dff32be · inbound

Operational Reframing and Approval-Framed Delegation in Multi-Agent LLM Safety cites this paper.

Operational Reframing and Approval-Framed Delegation in Multi-Agent LLM Safety Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-07-09T20:16:29.369931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-09T20:14:36.433937Z digest=sha256:57b7d1a7b53b5ed72f0cf1b216ed550bbeb038337e48a38ccbf6e088c0915da5