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Paper Citation Record · LEDGER

Enhancing Robustness of Autoregressive Language Models against Orthographic Attacks via Pixel-based Approach

As of 14 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2508.21206.

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

pith.paper-citation-record.v1
2508.21206 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:34:18.912344Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

26 of 26 outbound references displayed

  • verified exact3
  • verified fuzzy1
  • unresolved22
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fd0489b4-c21c-467e-b357-4094d062cef5 · outbound

This paper cites an unresolved cited work.

Enhancing Robustness of Autoregressive Language Models against Orthographic Attacks via Pixel-based Approach Unresolved cited work

Reference 1

Resolution
verified exact
doi, observed 2026-08-05T14:34:19.512417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation f18b90d3-f2cc-43ea-9e70-43ffee26f921 · outbound

This paper cites an unresolved cited work.

Enhancing Robustness of Autoregressive Language Models against Orthographic Attacks via Pixel-based Approach Unresolved cited work

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-05T14:34:17.193581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:34:17.193581Z digest=sha256:45043d341efc952bb3b34f686bdcace7f77ae8470c927a09f056e9b9c46bf868

Observation c21c6555-96ec-437a-a77c-2284cef50ca4 · outbound

This paper cites an unresolved cited work.

Enhancing Robustness of Autoregressive Language Models against Orthographic Attacks via Pixel-based Approach Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-05T14:34:17.231984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:34:17.231984Z digest=sha256:76cc564e4eccce6829c2cbf779df118bdcfbf2c23bed0e160ff6628beca77780

Observation 0ecb1c54-1984-4efe-9a9a-6410e4e17a43 · outbound

This paper cites WMT24++: Expanding the Language Coverage of WMT24 to 55 Languages & Dialects.

Enhancing Robustness of Autoregressive Language Models against Orthographic Attacks via Pixel-based Approach WMT24++: Expanding the Language Coverage of WMT24 to 55 Languages & Dialects

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-05T14:34:17.303431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:34:17.303431Z digest=sha256:ef11d295c9c4a9d5c4a749abc3c6bb20261914bd3ffd1c15831fa46cc9e18d10

Observation f4be825a-1db2-4c08-97dd-0c0258270203 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Enhancing Robustness of Autoregressive Language Models against Orthographic Attacks via Pixel-based Approach An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-05T14:34:17.370790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:34:17.370790Z digest=sha256:2cd0ad0a521bccd032c9c92db44ca4a728c8c7e5942499d4d7d08b36b5f1691b

Observation 36fad96b-33e5-4119-a01c-61db347b0dcb · outbound

This paper cites o zde G \.

Enhancing Robustness of Autoregressive Language Models against Orthographic Attacks via Pixel-based Approach o zde G \

Reference 6

Resolution
verified exact
doi, observed 2026-08-05T14:34:19.347553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T14:34:17.420656Z digest=sha256:4897dcd776056d9aa0ac82f5712eb3a814e4def9bc65819e45eac58624305a09

Observation 4bb36a9f-624d-498f-9c40-a02617a47362 · outbound

This paper cites an unresolved cited work.

Enhancing Robustness of Autoregressive Language Models against Orthographic Attacks via Pixel-based Approach Unresolved cited work

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-05T14:34:17.527463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:34:17.527463Z digest=sha256:0e577d58d423dfb2d1b7167e22f18622ae4a62de6a703d0c10743e93aaa86f3b

Observation f9073330-54fb-41c9-b838-e9fa5d460af3 · outbound

This paper cites Challenges and Applications of Large Language Models.

Enhancing Robustness of Autoregressive Language Models against Orthographic Attacks via Pixel-based Approach Challenges and Applications of Large Language Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-05T14:34:17.588895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:34:17.588895Z digest=sha256:51596cbf9ef2048fa5a5953f98b5d3bc7774e5ab142531bc8b174b8afb1e9f79

Observation 9f265c88-9c28-4be4-be59-a2462d3ccc64 · outbound

This paper cites Girshick.

Enhancing Robustness of Autoregressive Language Models against Orthographic Attacks via Pixel-based Approach Girshick

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-05T14:34:17.666515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:34:17.666515Z digest=sha256:64ebdd71bd744981496c4a85b3aeb36d720e5be9b3ea3cfaa4a9ed23b6f8a558

Observation 2ae960b8-40c5-4a4b-a00e-84928b4b160c · outbound

This paper cites an unresolved cited work.

Enhancing Robustness of Autoregressive Language Models against Orthographic Attacks via Pixel-based Approach Unresolved cited work

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-05T14:34:17.727931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:34:17.727931Z digest=sha256:d276a23cfe1da25a0061a6c98a9a77401b01e34d269fea5a0cfe954cd1b114e7

Observation ad260618-c94e-43fa-a112-ce6f551e81b3 · outbound

This paper cites an unresolved cited work.

Enhancing Robustness of Autoregressive Language Models against Orthographic Attacks via Pixel-based Approach Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:34:20.256668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T14:34:17.817676Z digest=sha256:d7c725d410865bcc9d3b971330212440b8a695e4bd7c69ff3f4fe328aba70c9e

Observation b6748289-39c1-4ef3-9d44-2ea6c855e65d · outbound

This paper cites Overcoming Vocabulary Constraints with Pixel-level Fallback.

Enhancing Robustness of Autoregressive Language Models against Orthographic Attacks via Pixel-based Approach Overcoming Vocabulary Constraints with Pixel-level Fallback

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-05T14:34:17.902741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:34:17.902741Z digest=sha256:5d71a399cd65f9e087c16be47bf64f845a5412f9e5c580b67b831dbb52492a8d

Observation 848f0ba0-a54e-46d5-a8fd-6d301580bcf2 · outbound

This paper cites an unresolved cited work.

Enhancing Robustness of Autoregressive Language Models against Orthographic Attacks via Pixel-based Approach Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:34:20.126639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T14:34:17.984266Z digest=sha256:0a928d59c1331327ee91f44994b1f763135302db130ba4204a8adf770e402f0c

Observation 76419c1a-c1c6-402d-8428-d4caa0499a02 · outbound

This paper cites an unresolved cited work.

Enhancing Robustness of Autoregressive Language Models against Orthographic Attacks via Pixel-based Approach Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-05T14:34:18.041165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:34:18.041165Z digest=sha256:73e90af666a02df78f96bbe90245cc5156247aa3611035a19931b4923bcff27a

Observation 3d08f3d8-2f59-43c9-8630-4f560e9633c5 · outbound

This paper cites an unresolved cited work.

Enhancing Robustness of Autoregressive Language Models against Orthographic Attacks via Pixel-based Approach Unresolved cited work

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-05T14:34:18.092070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:34:18.092070Z digest=sha256:83b409833dfb4ea1c42af45971a3ee54e75e8919f0e6d824920c03321aa04dc2

Observation fcddb53e-6a81-4930-853b-0503501af33b · outbound

This paper cites Lotz, Emanuele Bugliarello, Elizabeth Salesky, Miryam de Lhoneux, and Desmond Elliott.

Enhancing Robustness of Autoregressive Language Models against Orthographic Attacks via Pixel-based Approach Lotz, Emanuele Bugliarello, Elizabeth Salesky, Miryam de Lhoneux, and Desmond Elliott

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:34:19.980853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T14:34:18.136761Z digest=sha256:a3327959575e34f08256572f5f4c8754c1034e79ad7aa44aebfeb518e66b7259

Observation 4c8670de-304d-4334-b0f0-dcb0bfa685be · outbound

This paper cites an unresolved cited work.

Enhancing Robustness of Autoregressive Language Models against Orthographic Attacks via Pixel-based Approach Unresolved cited work

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-05T14:34:18.246604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:34:18.246604Z digest=sha256:76b7306a0b2e0db4e540281ea86700cc653db6ec6c1f8283a6631be902dd3cff

Observation fe403c07-1347-41c2-9ace-16ffb516a464 · outbound

This paper cites an unresolved cited work.

Enhancing Robustness of Autoregressive Language Models against Orthographic Attacks via Pixel-based Approach Unresolved cited work

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-05T14:34:18.316573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:34:18.316573Z digest=sha256:3e138eba57c4efa367d4f7619733aad598c037ebda2901fb73b249e5c085432d

Observation c758b651-d7de-4e11-b2cd-3899ee792297 · outbound

This paper cites Manning, Andrew Ng, and Christopher Potts.

Enhancing Robustness of Autoregressive Language Models against Orthographic Attacks via Pixel-based Approach Manning, Andrew Ng, and Christopher Potts

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-05T14:34:18.431615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:34:18.431615Z digest=sha256:801c4bf8537e74dde563f3e19d38283f7bb5d2baeb8ba882bd7ca53c87d787be

Observation 36e3404e-bc7b-43b7-bd43-7421df25789f · outbound

This paper cites an unresolved cited work.

Enhancing Robustness of Autoregressive Language Models against Orthographic Attacks via Pixel-based Approach Unresolved cited work

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-05T14:34:18.479295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:34:18.479295Z digest=sha256:036e56b277431c922f895abf6cc032d98887c18a2f6e00eae06f50ef629638ab

Observation fbdf34a4-a5c3-40bb-a0c2-0a90d8a68820 · outbound

This paper cites an unresolved cited work.

Enhancing Robustness of Autoregressive Language Models against Orthographic Attacks via Pixel-based Approach Unresolved cited work

Reference 21

Resolution
verified exact
doi, observed 2026-08-05T14:34:19.142895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T14:34:18.578099Z digest=sha256:6fd5058e103f31407044ec943a443dc97c0c18f7bf272f24b2396e0625b6a5a1

Observation f6b9d174-4cbd-43bc-8bf1-0005c3f98dd0 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Enhancing Robustness of Autoregressive Language Models against Orthographic Attacks via Pixel-based Approach LLaMA: Open and Efficient Foundation Language Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-05T14:34:18.646589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:34:18.646589Z digest=sha256:edd46e48591e9dd2e20e24006e93bcc7487e3e2688b11d6d32358b6c5825303d

Observation 0a170fde-e0cc-458b-8e07-360164ad479f · outbound

This paper cites Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation.

Enhancing Robustness of Autoregressive Language Models against Orthographic Attacks via Pixel-based Approach Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-05T14:34:18.697951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:34:18.697951Z digest=sha256:3ba459adbb95ae798a5030702ab25bb8d30519c947766d1b2264d39801a89d5f

Observation bba2c418-2bd6-4eef-be00-47333a709afe · outbound

This paper cites Zemel, Ruslan Salakhutdinov, Raquel Urtasun, Antonio Torralba, and Sanja Fidler.

Enhancing Robustness of Autoregressive Language Models against Orthographic Attacks via Pixel-based Approach Zemel, Ruslan Salakhutdinov, Raquel Urtasun, Antonio Torralba, and Sanja Fidler

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-05T14:34:18.777526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:34:18.777526Z digest=sha256:c493b723dab70bd22e13c3734392eed1e55c9cfa67abdfd9062ab698907e2a53

Observation bb45166e-93d2-426e-bed4-f3b1b0cf859c · outbound

This paper cites online" 'onlinestring :=.

Enhancing Robustness of Autoregressive Language Models against Orthographic Attacks via Pixel-based Approach online" 'onlinestring :=

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-05T14:34:18.831980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:34:18.831980Z digest=sha256:a54b7b41a76b25cf35c64ccbf684199c85c748606384addbe5f21880e060c910

Observation 6706ecb2-916e-49cb-98f1-3913f727fa53 · outbound

This paper cites write newline.

Enhancing Robustness of Autoregressive Language Models against Orthographic Attacks via Pixel-based Approach write newline

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-05T14:34:18.912344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:34:18.912344Z digest=sha256:a21f049bfb24083d14cf95d1f68a754c9ef0e540ca84a46c96662a4e45e6952d

Pith citing papers

No inbound Pith citation observations are available.