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Paper Citation Record · LEDGER

Scaling Trends in Language Model Robustness

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2407.18213.

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

pith.paper-citation-record.v1
2407.18213 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:35:55.466799Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 40b74811-daf5-44c1-bf8d-861880bb454f · inbound

On the Scaling of Robustness and Effectiveness in Dense Retrieval cites this paper.

On the Scaling of Robustness and Effectiveness in Dense Retrieval Scaling Trends in Language Model Robustness

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:55.466799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:35:55.466799Z digest=sha256:3408cbc203dfae1e69c0d7ee7dc50889e5fd001c6670532d8230763ba6315fff

Observation 8c906f45-c952-4d92-92d0-cca9c9943bc3 · inbound

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models cites this paper.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Scaling Trends in Language Model Robustness

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T05:41:57.959395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:41:57.959395Z digest=sha256:18563cf36748e1d2b01a8d36404ac39c0aa4124fc95fdf9f9d5786ed1e09c60e

Observation 3ed7c96d-4758-44d2-816c-28d632e2b569 · inbound

We Should Identify and Mitigate Third-Party Safety Risks in MCP-Powered Agent Systems cites this paper.

We Should Identify and Mitigate Third-Party Safety Risks in MCP-Powered Agent Systems Scaling Trends in Language Model Robustness

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T00:32:36.541321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:32:36.541321Z digest=sha256:d7a39b71905d958e511e3e91574ef8cc5561a0f713df500b6f5d22be54cd6fb4

Observation faafb183-d61b-4700-9430-f4c2a73615ae · inbound

Can You Trick the Grader? Adversarial Persuasion of LLM Judges cites this paper.

Can You Trick the Grader? Adversarial Persuasion of LLM Judges Scaling Trends in Language Model Robustness

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-05T21:55:57.954067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:55:57.954067Z digest=sha256:d1b539f86a539b77b2497a450aacb7f41dc4a0f09a6fc338e38175bbf5aa35d5

Observation 85d8da11-fe43-4f68-ae13-1631eb92deed · inbound

REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations cites this paper.

REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations Scaling Trends in Language Model Robustness

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:17:56.809780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-14T20:13:10.814899Z digest=sha256:ef1f9367efce9938c0c63298790b08e72d5e839ff549a2942fe74259c76240e3

Observation 09b5869f-2af2-4ec9-b95d-8a3193b6c1b5 · inbound

Efficient LLM Adversarial Training via Low-Rank Defense and Circuit-Guided Surrogates cites this paper.

Efficient LLM Adversarial Training via Low-Rank Defense and Circuit-Guided Surrogates Scaling Trends in Language Model Robustness

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-03T16:32:04.086998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:32:04.086998Z digest=sha256:feaf1c825a5dc0285471fbc9ee633aee7ed9cb41c7fc32888c151b6c40feb0de