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Paper Citation Record · LEDGER

Defending LLM-based Multi-Agent Systems Against Cooperative Attacks with Sentence-Level Rectification

As of 4 August 2026, this Paper Citation Record lists 8 of 8 outbound references and 1 inbound Pith citation observation for arXiv:2605.28104.

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

pith.paper-citation-record.v1
2605.28104 v1

Coverage vector

measured 8 of 8 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T12:19:02.342893Z

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T08:28:01.150685Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T12:15:01.137692Z

Reference resolution

8 of 8 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved5
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e7633164-31d5-4a37-82ff-050942587b5e · outbound

This paper cites Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast.

Defending LLM-based Multi-Agent Systems Against Cooperative Attacks with Sentence-Level Rectification Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T12:23:24.329343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T12:19:02.342893Z digest=sha256:89f97f12e4bea5a7aee25f95b17581ddc6825ef2b903e52aaee7b133b5e26f93

Observation 39e935ed-ad5e-4204-9231-5bdb8a596e82 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Defending LLM-based Multi-Agent Systems Against Cooperative Attacks with Sentence-Level Rectification Measuring Massive Multitask Language Understanding

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-06-29T12:23:24.330830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T12:19:02.342893Z digest=sha256:06decaa1a2006cac8283bf4608efda793cf0b0cf754b3eb3d0dd9f8e95b5910c

Observation d471b3e8-e329-4e42-9fc3-904ee90f9061 · outbound

This paper cites NetSafe: Exploring the Topological Safety of Multi-agent Networks.

Defending LLM-based Multi-Agent Systems Against Cooperative Attacks with Sentence-Level Rectification NetSafe: Exploring the Topological Safety of Multi-agent Networks

Reference 3

Resolution
malformed identifier
arxiv_id, observed 2026-06-29T12:23:24.333304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T12:19:02.342893Z digest=sha256:68cfa50333cc01d3ff2c7690803c4b211be27bbedea40602120570bff3d63de2

Observation 6363f212-4900-4b8d-8e77-49ac33c43210 · outbound

This paper cites an unresolved cited work.

Defending LLM-based Multi-Agent Systems Against Cooperative Attacks with Sentence-Level Rectification Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-06-29T12:19:02.342893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T12:19:02.342893Z digest=sha256:63784ce9c9a7b4e024daecde791cda5452b52651d943eff7e11bc5a3327f7af4

Observation b31111a4-2f11-47b2-9b12-b98384048a5d · outbound

This paper cites [Question].

Defending LLM-based Multi-Agent Systems Against Cooperative Attacks with Sentence-Level Rectification [Question]

Reference 5

Resolution
unresolved
no resolver link, observed 2026-06-29T12:19:02.342893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T12:19:02.342893Z digest=sha256:1a9e35b0714bcda09967925715dcc88e77e787fd28c05f9fd4b356f6bcec82dd

Observation fc0c6eff-9e2e-4a75-a94e-ce94a9eb586b · outbound

This paper cites For each sentence, determine whether it is factually correct and output your confidence score.

Defending LLM-based Multi-Agent Systems Against Cooperative Attacks with Sentence-Level Rectification For each sentence, determine whether it is factually correct and output your confidence score

Reference 6

Resolution
unresolved
no resolver link, observed 2026-06-29T12:19:02.342893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T12:19:02.342893Z digest=sha256:016112b416ae4b012f8c8573744951394d6b26236959cb103f1069345a6f61e4

Observation 16170840-bb57-4bca-90c6-08825fc8568e · outbound

This paper cites For factually wrong sentences (marked ’No’), perform the following operations: Extract Misleading Claim:A concise summary of the error.

Defending LLM-based Multi-Agent Systems Against Cooperative Attacks with Sentence-Level Rectification For factually wrong sentences (marked ’No’), perform the following operations: Extract Misleading Claim:A concise summary of the error

Reference 7

Resolution
unresolved
no resolver link, observed 2026-06-29T12:19:02.342893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T12:19:02.342893Z digest=sha256:5700c9d033a185d876e3c56b08d5ebeceb3f0e8ad9c06d62a8e8bbff0db00eaa

Observation e530a192-87fe-4923-aa56-bab3958c7c5a · outbound

This paper cites an unresolved cited work.

Defending LLM-based Multi-Agent Systems Against Cooperative Attacks with Sentence-Level Rectification Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-06-29T12:19:02.342893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T12:19:02.342893Z digest=sha256:defdef31038ab86f4173297882f08e6a8bed6d8ee8df3b39578c3814613a9d46

Pith citing papers

Observation d05c4e63-3a8f-4e11-90ac-876d8aa3d575 · inbound

When Latent Agents Lie: KV-Cache Integrity in Multi-Agent LLM Collaboration cites this paper.

When Latent Agents Lie: KV-Cache Integrity in Multi-Agent LLM Collaboration Defending LLM-based Multi-Agent Systems Against Cooperative Attacks with Sentence-Level Rectification

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-06-30T08:34:27.137835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T08:28:01.150685Z digest=sha256:563612e839c4fdf9b7c2e73d3af97b3b88012503615faa1d2b600c534e7fa9f9