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Paper Citation Record · LEDGER

Differential Robustness in Transformer Language Models: Empirical Evaluation Under Adversarial Text Attacks

As of 22 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 0 inbound Pith citation observations for arXiv:2509.09706.

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

pith.paper-citation-record.v1
2509.09706 v1

Coverage vector

measured 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:27:25.228988Z

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

10 of 10 outbound references displayed

  • verified exact0
  • verified fuzzy2
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 160871d0-f72b-4c08-8082-1b48a1e6cdac · outbound

This paper cites What Makes Entities Similar? A Similarity Flooding Perspective for Multi-sourced Knowledge Graph Embeddings.

Differential Robustness in Transformer Language Models: Empirical Evaluation Under Adversarial Text Attacks What Makes Entities Similar? A Similarity Flooding Perspective for Multi-sourced Knowledge Graph Embeddings

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-05T05:27:25.195548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:27:25.195548Z digest=sha256:2953f5225cdd33e3e9fd940840d304f116c33e29f52474797309505ffe5a8204

Observation c641dfc7-1677-4fd4-a3b6-68def5e4367d · outbound

This paper cites Reducing the number of single-photon detectors in quantum key distribution networks by time multiplexing.

Differential Robustness in Transformer Language Models: Empirical Evaluation Under Adversarial Text Attacks Reducing the number of single-photon detectors in quantum key distribution networks by time multiplexing

Reference 4

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T05:27:25.454997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T05:27:25.200163Z digest=sha256:061a6b8486589be4e61794041fe6a26d5357a683d5aaa04db0c79faa972c1e58

Observation 4d2304df-2118-47f8-ae1e-c37f6ed4d788 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Differential Robustness in Transformer Language Models: Empirical Evaluation Under Adversarial Text Attacks RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-05T05:27:25.210655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:27:25.210655Z digest=sha256:ca6c9feae5acfade0bc0ba65af64758e17c9f8df2c0958429fa25f13f1477c67

Observation bff00922-bc82-49ea-ae90-bb3c7b9d6fdf · outbound

This paper cites Long-Distance Gesture Recognition using Dynamic Neural Networks.

Differential Robustness in Transformer Language Models: Empirical Evaluation Under Adversarial Text Attacks Long-Distance Gesture Recognition using Dynamic Neural Networks

Reference 8

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T05:27:25.288896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T05:27:25.220047Z digest=sha256:abe8c3b3d63529fe15edf52d7518141bcde2433dcba31bc6bd4bcf0701ab4505

Observation 74b81bd1-0c3e-40e5-a535-9c3bf76eadbb · outbound

This paper cites Lacunary sequences in analysis, probability and number theory.

Differential Robustness in Transformer Language Models: Empirical Evaluation Under Adversarial Text Attacks Lacunary sequences in analysis, probability and number theory

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-05T05:27:25.228988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:27:25.228988Z digest=sha256:8d9de6edf2fa8109bd3ffb4c1fe1699b1c7f7eb5b0af2e1f4fb1b37160e8bd6b

Observation b863650e-cc86-489a-a582-c08fee0b7144 · outbound

This paper cites In Proceedings of the 2013 conference on empiri- cal methods in natural language processing, pages 1631–1642.

Differential Robustness in Transformer Language Models: Empirical Evaluation Under Adversarial Text Attacks In Proceedings of the 2013 conference on empiri- cal methods in natural language processing, pages 1631–1642

Reference 2013

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:27:25.503439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T05:27:25.224594Z digest=sha256:b68269e5decd1ce509a8252cfb3779c273aa4bc20010d555a999e3574c647b97

Observation 107340ff-94bc-4d9b-8ee4-0c784219056a · outbound

This paper cites Know What You Don't Know: Unanswerable Questions for SQuAD.

Differential Robustness in Transformer Language Models: Empirical Evaluation Under Adversarial Text Attacks Know What You Don't Know: Unanswerable Questions for SQuAD

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-05T05:27:25.215392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:27:25.215392Z digest=sha256:461767742df46497107849f79f7777614626428a58212934ebbe4727fa161dac

Observation 9494420b-aa14-4949-bef2-cf645915f1b6 · outbound

This paper cites an unresolved cited work.

Differential Robustness in Transformer Language Models: Empirical Evaluation Under Adversarial Text Attacks Unresolved cited work

Reference 2019

Resolution
unresolved
raw_fallback, observed 2026-08-05T05:27:25.533996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T05:27:25.191140Z digest=sha256:a7d387dae27aaa878a0160dc3bbce0622c27390769c416c2ac5562fbf618fec4

Observation a8697e38-dd50-452a-a5b5-8357aa65e817 · outbound

This paper cites In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, pages 6193–6202.

Differential Robustness in Transformer Language Models: Empirical Evaluation Under Adversarial Text Attacks In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, pages 6193–6202

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:27:25.518094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T05:27:25.206325Z digest=sha256:997b7e849765e068a5cd87faa1247fef23a48ab97e91c017f9240f53ed1cad2d

Observation 5c0b88bc-a256-4d6a-b791-1d34df8373a4 · outbound

This paper cites Optimum phase estimation with two control qubits.

Differential Robustness in Transformer Language Models: Empirical Evaluation Under Adversarial Text Attacks Optimum phase estimation with two control qubits

Reference 2023

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T05:27:25.488938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T05:27:25.185439Z digest=sha256:75f6b363eeca9b4826083be8afd8a11ed91f40c1a5c7cac62e7de49703d3badb

Pith citing papers

No inbound Pith citation observations are available.