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Paper Citation Record · LEDGER

Why Do Large Language Models (LLMs) Struggle to Count Letters?

As of 15 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 17 inbound Pith citation observations for arXiv:2412.18626.

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

pith.paper-citation-record.v1
2412.18626 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:28:33.548684Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:13:49.172021Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T09:37:00.787799Z

Reference resolution

26 of 26 outbound references displayed

  • verified exact1
  • verified fuzzy1
  • unresolved24
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2aa14162-3ec4-432e-bc36-a3941308f14f · outbound

This paper cites an unresolved cited work.

Why Do Large Language Models (LLMs) Struggle to Count Letters? Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:28:34.574903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T11:28:33.043269Z digest=sha256:9b8e8f139a0085592b44959e182938301a346b35e5a7df82402db994ea706c65

Observation 103a6269-a8b1-404a-879a-9055507c8938 · outbound

This paper cites an unresolved cited work.

Why Do Large Language Models (LLMs) Struggle to Count Letters? Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:28:34.559203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T11:28:33.052890Z digest=sha256:7d09d2c545ac2b346b1b29ad72db61881f22a4d7f6e6242dd478df9135a6642d

Observation ec28809f-b4f2-4537-8d96-3037df0b48bc · outbound

This paper cites an unresolved cited work.

Why Do Large Language Models (LLMs) Struggle to Count Letters? Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:28:34.542442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T11:28:33.063074Z digest=sha256:4d19b2f15a4af67cede014bba2a72b2c254071514ae0f30e41079c4ad4d76f96

Observation 9dd8b884-347b-422e-868a-977b453e173e · outbound

This paper cites The Llama 3 Herd of Models.

Why Do Large Language Models (LLMs) Struggle to Count Letters? The Llama 3 Herd of Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T11:28:33.069009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:28:33.069009Z digest=sha256:7307317c18429852bc4f404bbe2777018c7d7e9eddd28f310466afc15f3d6e2d

Observation 80e08efc-3137-4420-b6d2-11cafb5e1be2 · outbound

This paper cites an unresolved cited work.

Why Do Large Language Models (LLMs) Struggle to Count Letters? Unresolved cited work

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T11:28:33.113079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:28:33.113079Z digest=sha256:9074998ec43b786f385aeb95d0f11ad37d762c4f30e0385d64abc5b5c8284f06

Observation b54cbc6b-8627-49b5-b7d3-4c0af20996da · outbound

This paper cites Mistral 7B.

Why Do Large Language Models (LLMs) Struggle to Count Letters? Mistral 7B

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T11:28:33.167490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:28:33.167490Z digest=sha256:d628e04d14fc38e075c48f161b242d507b05c1069938c78ff933199904434615

Observation 3b617d12-3fec-4a58-8903-1af69fa2fbf2 · outbound

This paper cites Funes, The Memorious.

Why Do Large Language Models (LLMs) Struggle to Count Letters? Funes, The Memorious

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:28:34.524857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T11:28:33.238704Z digest=sha256:a15d03a0652a1300270ede28a36d927def729870511e1d61296d5ef1bf34eeae

Observation f55cc44b-8906-4056-800a-f643f612f102 · outbound

This paper cites an unresolved cited work.

Why Do Large Language Models (LLMs) Struggle to Count Letters? Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T11:28:33.244315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:28:33.244315Z digest=sha256:bd4bf3f31cad26178224d8bbcf75ce67af6ee170a54254f27ed610b91670b925

Observation 6d84d395-5287-4841-b6c0-498ee98a5e3a · outbound

This paper cites Large Language Models: A Survey.

Why Do Large Language Models (LLMs) Struggle to Count Letters? Large Language Models: A Survey

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T11:28:33.261769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:28:33.261769Z digest=sha256:a5f73e1b30ae9246db8f96e64398e346f90e913656b34d907d5647c6ceb8e155

Observation f9f97ca1-bfb4-414c-9115-79eb74abff9d · outbound

This paper cites an unresolved cited work.

Why Do Large Language Models (LLMs) Struggle to Count Letters? Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:28:34.380155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T11:28:33.268983Z digest=sha256:ac5256927abecdb9bacbc3486c70eb093fc8c9af9db461fc8f77167c21215a51

Observation c1fcc651-ec99-400d-99af-769937bfd727 · outbound

This paper cites an unresolved cited work.

Why Do Large Language Models (LLMs) Struggle to Count Letters? Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:28:34.269170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T11:28:33.280118Z digest=sha256:a6d948beddc51a30e1b136ccb87d00a58e8a8919d5065094f731510c9e84c020

Observation 98b18803-5d67-49f7-a187-aa799b5e9e3a · outbound

This paper cites GPT-4 Technical Report.

Why Do Large Language Models (LLMs) Struggle to Count Letters? GPT-4 Technical Report

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T11:28:33.286761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:28:33.286761Z digest=sha256:9fb75e4bc5564eb7017be6839ec015369a1d6ba9b74537c52e5c8e5a7fbf2ab6

Observation 042b7949-4d46-4301-8df5-4c459f8d358d · outbound

This paper cites an unresolved cited work.

Why Do Large Language Models (LLMs) Struggle to Count Letters? Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:28:34.252149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T11:28:33.293506Z digest=sha256:5b8fea7c59620181fcb32eb77b561d9b68a89a38595575d599936cec05069aa2

Observation 7fb9d65d-a529-4919-91fe-a706a1240b29 · outbound

This paper cites Towards Linguistically-Aware and Language-Independent Tokenization for Large Language Models (LLMs).

Why Do Large Language Models (LLMs) Struggle to Count Letters? Towards Linguistically-Aware and Language-Independent Tokenization for Large Language Models (LLMs)

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-11T11:28:33.950243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T11:28:33.300125Z digest=sha256:1d17484abbbc28570334c2348a44d214345cee659d55c23ec7e2023682e41b10

Observation da49c45e-5d1e-40e7-83ea-fa3d69badb36 · outbound

This paper cites Toward a Theory of Tokenization in LLMs.

Why Do Large Language Models (LLMs) Struggle to Count Letters? Toward a Theory of Tokenization in LLMs

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T11:28:33.306478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:28:33.306478Z digest=sha256:204419cd4d1d9f73ce5993c262c38ed150839e44c8bb0a11b5d447864c486933

Observation 005224bb-53d9-445c-bf64-3e89726ae549 · outbound

This paper cites an unresolved cited work.

Why Do Large Language Models (LLMs) Struggle to Count Letters? Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:28:34.232588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T11:28:33.353637Z digest=sha256:236bb6bc887ee3fcae7590380b415e82be31655b077d69740b1aace1c018777d

Observation 0741fa2d-52c3-43f1-ad02-adfb2d64a341 · outbound

This paper cites Large Language Models Lack Understanding of Character Composition of Words.

Why Do Large Language Models (LLMs) Struggle to Count Letters? Large Language Models Lack Understanding of Character Composition of Words

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-11T11:28:33.377761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:28:33.377761Z digest=sha256:8090d6f3e5193e2cc98dad6e64afe6211eab3e83f335820611f33c5e9faec1c0

Observation e6474fba-4ed4-4dfa-9e7c-916f7fbbe018 · outbound

This paper cites an unresolved cited work.

Why Do Large Language Models (LLMs) Struggle to Count Letters? Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:28:34.212630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T11:28:33.419997Z digest=sha256:16f938f85e9b4d7569efa7903f55a084b077e595e75ae981e771c0ea113dcf08

Observation fed0774b-3889-486d-9585-a2fede557fb5 · outbound

This paper cites Attention Is All You Need.

Why Do Large Language Models (LLMs) Struggle to Count Letters? Attention Is All You Need

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-11T11:28:33.490669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:28:33.490669Z digest=sha256:ee78e3bf9341d126e267446d50fbe89555a5db5aec6853e29751661f8ecd2fc7

Observation 48eaf278-c5fe-45a4-9090-4d2e9f3c8c39 · outbound

This paper cites MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark.

Why Do Large Language Models (LLMs) Struggle to Count Letters? MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T11:28:33.513609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:28:33.513609Z digest=sha256:115713dc688bd943cd979fbf3e6e11d2e5d7eb7c94512934b1725b519b31f5e7

Observation b6685f22-85f9-42e0-b39f-b6c827190be5 · outbound

This paper cites LLM The Genius Paradox: A Linguistic and Math Expert's Struggle with Simple Word-based Counting Problems.

Why Do Large Language Models (LLMs) Struggle to Count Letters? LLM The Genius Paradox: A Linguistic and Math Expert's Struggle with Simple Word-based Counting Problems

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-11T11:28:33.522746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:28:33.522746Z digest=sha256:e6f890f854541177d6a5630930291cfe89f04358258c617fcae3e1738511193e

Observation 976db0ec-b8a4-4471-a799-8a33997d8f53 · outbound

This paper cites an unresolved cited work.

Why Do Large Language Models (LLMs) Struggle to Count Letters? Unresolved cited work

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-11T11:28:33.530174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:28:33.530174Z digest=sha256:ccb174efd26f44ede8fb9a53f32065805b1eaf9cbc0e3340660f41570ddcccde

Observation f379a5fa-1c25-4908-8f5c-84e4e53df785 · outbound

This paper cites an unresolved cited work.

Why Do Large Language Models (LLMs) Struggle to Count Letters? Unresolved cited work

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T11:28:33.536071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:28:33.536071Z digest=sha256:17877c3f98dffd6581740d94ea8e4c02fa8848d883123463dac44912f635cb23

Observation 397c6201-55d8-4480-b959-c49d1e127cad · outbound

This paper cites How well do Large Language Models perform in Arithmetic tasks?.

Why Do Large Language Models (LLMs) Struggle to Count Letters? How well do Large Language Models perform in Arithmetic tasks?

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-11T11:28:33.542847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:28:33.542847Z digest=sha256:683016beba8b83946b916217842dbd70f597a68b1a8e8f091080977c8d790f3d

Observation 3a10021e-4c72-470c-914b-926f1a5b7ab8 · outbound

This paper cites an unresolved cited work.

Why Do Large Language Models (LLMs) Struggle to Count Letters? Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:28:34.149365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T11:28:33.548684Z digest=sha256:8093de8d32a66dbba38bca939e4ccbc55f2e3f9a2fc7190e9df2fb667562fb4d

Observation 822ff838-395b-4925-bb9f-e4deecdc40b2 · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Why Do Large Language Models (LLMs) Struggle to Count Letters? Measuring Mathematical Problem Solving With the MATH Dataset

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-11T11:28:33.252881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:28:33.252881Z digest=sha256:cb28a5a0ed96badfd052e775c3589489e6991e2740f7defad7a2098765558460

Pith citing papers

Observation 3a07f943-07bd-4fb5-9dd2-1a1ef2f51fd5 · inbound

Assessing the Chemical Intelligence of Large Language Models cites this paper.

Assessing the Chemical Intelligence of Large Language Models Why Do Large Language Models (LLMs) Struggle to Count Letters?

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-15T22:13:49.172021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:13:49.172021Z digest=sha256:094851b7818a871280e8109ee4d66ac42ea5c1264c849db693fad649dd75e639

Observation c4413bd7-67ff-41f4-a961-a0a1b3289f92 · inbound

VerIF: Verification Engineering for Reinforcement Learning in Instruction Following cites this paper.

VerIF: Verification Engineering for Reinforcement Learning in Instruction Following Why Do Large Language Models (LLMs) Struggle to Count Letters?

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T04:43:17.680979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:43:17.680979Z digest=sha256:0e0fab6b4ea3f3cb9d18c4bda2fcf0393b7006eca9c26bf8cbfb759eb7b93441

Observation 8253a5a2-d16a-417e-9068-178de9b74344 · inbound

Spelling-out is not Straightforward: LLMs' Capability of Tokenization from Token to Characters cites this paper.

Spelling-out is not Straightforward: LLMs' Capability of Tokenization from Token to Characters Why Do Large Language Models (LLMs) Struggle to Count Letters?

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T04:26:31.714015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:26:31.714015Z digest=sha256:56c39befcbaf6b143e3917cb67645c188d5a5d48820ef899aa70f53af54be639

Observation 42ddc09b-bc0b-422b-a7ac-e45bc5052317 · inbound

Deflating Deflationism: A Critical Perspective on Debunking Arguments Against LLM Mentality cites this paper.

Deflating Deflationism: A Critical Perspective on Debunking Arguments Against LLM Mentality Why Do Large Language Models (LLMs) Struggle to Count Letters?

Reference 1992

Resolution
unresolved
no resolver link, observed 2026-08-15T20:06:11.651530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:06:11.651530Z digest=sha256:9833fa9c6d1d3eaf8b67cbbb9ff963ec440f2f0f7e799bbf538254235f2107b9

Observation de151689-db27-493d-9e9d-9f0de7b067cb · inbound

TASE: Token Awareness and Structured Evaluation for Multilingual Language Models cites this paper.

TASE: Token Awareness and Structured Evaluation for Multilingual Language Models Why Do Large Language Models (LLMs) Struggle to Count Letters?

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-05T23:21:22.132885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:21:22.132885Z digest=sha256:788153efe3ad28d9a0c3f4d71632358481c58dcc730348c923272d4eede02bb1

Observation 9538caa5-b845-48dd-aae3-60c2d4c2d5a2 · inbound

IF-CRITIC: Towards a Fine-Grained LLM Critic for Instruction-Following Evaluation cites this paper.

IF-CRITIC: Towards a Fine-Grained LLM Critic for Instruction-Following Evaluation Why Do Large Language Models (LLMs) Struggle to Count Letters?

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T01:30:35.865984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-18T01:27:00.824546Z digest=sha256:551ceb4382410f5ead102b0fb4e77ff90cbf3017933e57c485d0b7d255af0aeb

Observation 51beb92f-9082-4200-bdd9-6df8860e9694 · inbound

Understanding Counting Mechanisms in Large Language and Vision-Language Models cites this paper.

Understanding Counting Mechanisms in Large Language and Vision-Language Models Why Do Large Language Models (LLMs) Struggle to Count Letters?

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-17T20:10:10.907673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-17T20:10:01.277804Z digest=sha256:c5adbd45c874b567f32b17a8c164407b4e92e2eb20015aa4ecf2c9e02be89732

Observation b72a604f-f262-4c02-8da8-d83c08a253a8 · inbound

A Benchmark for Omni-Modal Reasoning in Long Videos cites this paper.

A Benchmark for Omni-Modal Reasoning in Long Videos Why Do Large Language Models (LLMs) Struggle to Count Letters?

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-03T15:26:13.454457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:26:13.454457Z digest=sha256:ee6e0f59065d4c4a8988b7026cded125756de6f12de1fcb8c728dbbd52d0f70c

Observation ccb224bd-6820-4335-a0b7-bca1a7f03d8f · inbound

Strategies for Span Labeling with Large Language Models cites this paper.

Strategies for Span Labeling with Large Language Models Why Do Large Language Models (LLMs) Struggle to Count Letters?

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-03T08:28:02.255694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:28:02.255694Z digest=sha256:9dbfbbc4e25a016e5336572377065a16b0452dc64846734138881ae370204c51

Observation c9955bcd-ce53-4e8f-9695-799da55a0125 · inbound

Language models fail at extended rule following cites this paper.

Language models fail at extended rule following Why Do Large Language Models (LLMs) Struggle to Count Letters?

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-21T00:09:16.898573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-21T00:08:03.360730Z digest=sha256:9837acd2f38000265d26deb0a502ad0cb9f8e2f213bc2f6e482f36306bc656b7

Observation 35003780-8e32-468c-ad72-dbedcac2698d · inbound

The Position Curse: LLMs Struggle to Locate the Last Few Items in a List cites this paper.

The Position Curse: LLMs Struggle to Locate the Last Few Items in a List Why Do Large Language Models (LLMs) Struggle to Count Letters?

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:05:55.647711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-11T02:46:46.241768Z digest=sha256:56482b8d8c9577182dce41ed4008f1c7ae9077b6837280ada128b571e20e77f7

Observation d03ae7aa-2686-4e1e-8b17-74bb84e165ad · inbound

The Open-Box Fallacy: Why AI Deployment Needs a Calibrated Verification Regime cites this paper.

The Open-Box Fallacy: Why AI Deployment Needs a Calibrated Verification Regime Why Do Large Language Models (LLMs) Struggle to Count Letters?

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:11:26.515917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-12T03:37:12.567351Z digest=sha256:1362d6fb49ebc082ed61e2f807fdceeee77f1d72dc7c9325a82b7c15da408bc0

Observation 9f7ff329-5c1f-408a-b135-24720e3d9321 · inbound

Artificial Effort cites this paper.

Artificial Effort Why Do Large Language Models (LLMs) Struggle to Count Letters?

Reference 16

Resolution
unresolved
no resolver link, observed 2026-07-12T19:34:03.845958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T19:34:03.845958Z digest=sha256:c6ef41906f8d97d15a63fad59dcaabcd239c85492ecf444f3d094d1434af8c9c

Observation 64b444a2-78c8-47e9-8e49-a42b30bd0d4c · inbound

Empirical Evaluation of Large Language Models for Migration of Code Fragments to Post-Quantum Cryptography cites this paper.

Empirical Evaluation of Large Language Models for Migration of Code Fragments to Post-Quantum Cryptography Why Do Large Language Models (LLMs) Struggle to Count Letters?

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-02T17:47:17.839190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-27T21:53:11.767222Z digest=sha256:6e0f31372284dff6d44ba158718c9071e6a5d31f5e32ca9c722ba7270edcb679

Observation 04096664-3215-41c4-be42-7a4028081a90 · inbound

Blind-Spots-Bench: Evaluating Blind Spots in Multimodal Models cites this paper.

Blind-Spots-Bench: Evaluating Blind Spots in Multimodal Models Why Do Large Language Models (LLMs) Struggle to Count Letters?

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-07-10T09:37:00.788988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-10T09:30:46.564013Z digest=sha256:2ecded7b268dd4c8c7626d0adec0210f7e639fadf85252bc41b5b1e57af39dff

Observation 4137c117-d0a9-4136-a1ef-1950f75099bf · inbound

AoA: Theorem Proving Agent over Abstract Syntax Tree of Redesigned Language cites this paper.

AoA: Theorem Proving Agent over Abstract Syntax Tree of Redesigned Language Why Do Large Language Models (LLMs) Struggle to Count Letters?

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-01T21:39:58.163407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:39:58.163407Z digest=sha256:3136c2e68aabf3b87d62c8f157c7a7c046e236e742593531cf239cc3760b5815

Observation 892982bd-225e-41ad-8f3b-44a25c2f65a5 · inbound

Cognitive Convergence: Deep Similarities Between Large Language Models and Human Cognition cites this paper.

Cognitive Convergence: Deep Similarities Between Large Language Models and Human Cognition Why Do Large Language Models (LLMs) Struggle to Count Letters?

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-01T00:37:06.522815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:37:06.522815Z digest=sha256:72d7bbefd6c71edb5fe694f8edc2aa9ac47ca5731a2a6044979c006bfde7a71a