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Paper Citation Record · LEDGER

A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2406.11050.

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

pith.paper-citation-record.v1
2406.11050 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 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 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:00:50.476845Z

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

2
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 f05b5994-89dd-461e-a1bf-845a0a620c44 · inbound

GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models cites this paper.

GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners

Reference 75

Resolution
verified exact
arxiv_id, observed 2026-05-15T00:42:11.998977Z

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=2026-05-15T00:42:11.891829Z digest=sha256:f09b031c889802da0ba196dbf180f66b747eeb7ad40e2430ec2fba15a1e729bb

Observation e6d657ec-1614-4066-b211-389ba6273ac5 · inbound

LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods cites this paper.

LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners

Reference 102

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:08:36.856095Z

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=pdf_text observed=2026-05-11T23:08:34.312466Z digest=sha256:698b8389f4df95ac9d9aa6fc6cf4f9471634136544b7e2e7db9bab4179fb0f07

Observation 87db11a4-e2e7-44c4-b86d-7bdc9521e13f · inbound

Do Large Language Models Reason Causally Like Us? Even Better? cites this paper.

Do Large Language Models Reason Causally Like Us? Even Better? A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T19:00:50.476845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T19:00:50.476845Z digest=sha256:e6fd97e23a98544ed509695032c638798c4ec81a9d095a4a7965fcfe588e5eab

Observation eb19998c-3e6f-4d0c-a431-8468ac2e2782 · inbound

Lost in Cultural Translation: Do LLMs Struggle with Math Across Cultural Contexts? cites this paper.

Lost in Cultural Translation: Do LLMs Struggle with Math Across Cultural Contexts? A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-22T22:27:12.289754Z

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=pdf_text observed=2026-05-22T22:27:02.059459Z digest=sha256:f64dd90b8d01db6c066b82ab56535012165058ebcd8021c382bad2813337cb34

Observation b448af61-139e-4ab1-b19f-cc490692621d · inbound

Benchmarking Abstract and Reasoning Abilities Through A Theoretical Perspective cites this paper.

Benchmarking Abstract and Reasoning Abilities Through A Theoretical Perspective A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-07T13:20:14.454867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:20:14.454867Z digest=sha256:2dac62777de25de01a68de42ebde9c34b45a344637db25f8dfdf7f7b586d1363

Observation bb1d0225-b325-45fe-a1f0-d950c3075556 · inbound

Beyond Statistical Learning: Exact Learning Is Essential for General Intelligence cites this paper.

Beyond Statistical Learning: Exact Learning Is Essential for General Intelligence A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T21:34:14.778308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:14.778308Z digest=sha256:b3db74981841c3be9e620195c3b133ae8f2f4758925b499d3fbbe2ff68448ed3

Observation ee49013d-c3ac-46fd-816b-9a281bad11b5 · inbound

Understanding the Ability of LLMs to Handle Character-Level Perturbation cites this paper.

Understanding the Ability of LLMs to Handle Character-Level Perturbation A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-04T09:39:02.116867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:39:02.116867Z digest=sha256:2e7ed5bfdd2b31cf9f773ac7f8bed70a207bce8e63b6f5e5deb15a92e273811d

Observation 6bb797d1-c1cf-4815-904d-1cd24a851cd4 · inbound

To See the Unseen: on the Generalization Ability of Transformers in Symbolic Reasoning cites this paper.

To See the Unseen: on the Generalization Ability of Transformers in Symbolic Reasoning A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-09T22:49:15.801002Z

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=pdf_text observed=2026-05-09T22:18:14.788882Z digest=sha256:ff206262cf9560f25b93e2ec2f605e6d8e8394f25157cb4b4b6400be973e20fd

Observation 0907eda6-14e3-45d2-ba38-d1bfc6790789 · inbound

InvEvolve: Evolving White-Box Inventory Policies via Large Language Models with Performance Guarantees cites this paper.

InvEvolve: Evolving White-Box Inventory Policies via Large Language Models with Performance Guarantees A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners

Reference 156

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T15:31:08.129762Z

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=2026-05-09T19:50:39.734124Z digest=sha256:69eb0543b16425b34cd96a34306a9a024bc778967ac91cbc904d720ef9f7aa16

Observation 33e8450e-36fc-4786-a219-557b217c0dda · inbound

InvEvolve: Evolving White-Box Inventory Policies via Large Language Models with Performance Guarantees cites this paper.

InvEvolve: Evolving White-Box Inventory Policies via Large Language Models with Performance Guarantees A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners

Reference 156

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T02:41:17.637139Z

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=2026-05-12T02:38:45.322351Z digest=sha256:c3096e1b6855d7cfe16e06b4515011cd78af1bac3226d2b480308bb7786d4cee

Observation de5bea12-82fc-4e63-97a2-a135e03c30be · inbound

AMEL: Accumulated Message Effects on LLM Judgments cites this paper.

AMEL: Accumulated Message Effects on LLM Judgments A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-22T05:11:06.859920Z

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=pdf_text observed=2026-05-22T05:08:30.607268Z digest=sha256:8d5edd3cd4538925dc33c615cc54a2f9c255eff1ff9747587a28caa22eaabf8c

Observation 6634f7c7-aa48-4608-b4d2-5de417bec214 · inbound

AMEL: Accumulated Message Effects on LLM Judgments cites this paper.

AMEL: Accumulated Message Effects on LLM Judgments A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-06-30T17:04:56.454085Z

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=pdf_text observed=2026-06-30T17:04:22.688250Z digest=sha256:a0b7367e48b61c064c527ffca533254dbf53e4bb74895c4a434bed881266065a

Observation 0487696d-3174-4659-b7e6-5b9b5dbe2517 · inbound

How reliable are LLMs when it comes to playing dice? cites this paper.

How reliable are LLMs when it comes to playing dice? A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-02T17:37:14.670206Z

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=pdf_text observed=2026-06-27T21:56:42.766016Z digest=sha256:2c4638802d18a7e2bf4af08c61c3da7481716d75ae5c752614babbe234a198b0

Observation 18ba2b69-a297-41b0-961f-69ac2224f326 · inbound

Implicit Reasoning Steering via Concept Chaining cites this paper.

Implicit Reasoning Steering via Concept Chaining A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-02T02:44:23.130190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:44:23.130190Z digest=sha256:f2ba60086b379119f3edfe79bd352957041305c1443f3b3e07f48490cafa3ad3

Observation 9a070227-50bb-4903-8858-5106cbf22002 · inbound

Implicit Reasoning Steering via Concept Chaining cites this paper.

Implicit Reasoning Steering via Concept Chaining A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners

Reference 130

Resolution
unresolved
no resolver link, observed 2026-08-02T02:44:33.118719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T02:44:33.118719Z digest=sha256:501cd8aacd3e30397b108267119ea6acf3bc4c18e2859aaa6d83165e1ce00041