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Paper Citation Record · LEDGER

CoreThink: A Symbolic Reasoning Layer to reason over Long Horizon Tasks with LLMs

As of 14 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2509.00971.

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

pith.paper-citation-record.v1
2509.00971 v2

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:05:34.208531Z

measured 40 of 40 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

40 of 40 outbound references displayed

  • verified exact5
  • verified fuzzy8
  • unresolved26
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cdb19087-9a0a-42eb-939b-20c32f6f35da · outbound

This paper cites Chain-of-Thought Reasoning In The Wild Is Not Always Faithful.

CoreThink: A Symbolic Reasoning Layer to reason over Long Horizon Tasks with LLMs Chain-of-Thought Reasoning In The Wild Is Not Always Faithful

Reference 1

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source=pdf_text observed=2026-08-05T13:05:31.857966Z digest=sha256:63d2cf0bb885cf9e73050acd73a94fff52b66e0c3edc873324cd5962ee254c3a

Observation 732b88e5-3b10-478c-8ef4-38ed05dd1318 · outbound

This paper cites Chain-of-Thought Is Not Explainability.

CoreThink: A Symbolic Reasoning Layer to reason over Long Horizon Tasks with LLMs Chain-of-Thought Is Not Explainability

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-05T13:05:37.124711Z

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=pdf_text observed=2026-08-05T13:05:31.925222Z digest=sha256:a48c5ad0f98112bdc2d937fb505205f5bee35cdd9546b68e781d6ae9af308ce7

Observation b5877844-f090-4f02-b312-9d303ad1c8a4 · outbound

This paper cites Post-Hoc Explanations Fail to Achieve their Purpose in Adversarial Contexts.

CoreThink: A Symbolic Reasoning Layer to reason over Long Horizon Tasks with LLMs Post-Hoc Explanations Fail to Achieve their Purpose in Adversarial Contexts

Reference 3

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local_arxiv, observed 2026-08-05T13:05:35.633964Z

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

source=pdf_text observed=2026-08-05T13:05:31.959824Z digest=sha256:dd9bdefdeb337dc45466a7af51c6f7653969637782d2eb08827c2a80ccdcb007

Observation 72fa721a-fcb5-451b-9442-5218e9fcf9d9 · outbound

This paper cites an unresolved cited work.

CoreThink: A Symbolic Reasoning Layer to reason over Long Horizon Tasks with LLMs Unresolved cited work

Reference 4

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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=pdf_text observed=2026-08-05T13:05:32.014943Z digest=sha256:93b1f6120e2473cea87b62eab5a4a64a2e2edaad29632e1873b3376c216724f9

Observation e48ef463-c9d7-4de3-9a08-6edc1864b999 · outbound

This paper cites InternalBiasinReasoningModelsleadstoOverthinking.

CoreThink: A Symbolic Reasoning Layer to reason over Long Horizon Tasks with LLMs InternalBiasinReasoningModelsleadstoOverthinking

Reference 5

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T13:05:32.139870Z digest=sha256:b73f61bf4f38025236291a8056153dbef647e57cdf7b0f77f8f2dde7f36b7592

Observation be44d2a7-3d0e-4b97-9688-a1c1b3a362f1 · outbound

This paper cites an unresolved cited work.

CoreThink: A Symbolic Reasoning Layer to reason over Long Horizon Tasks with LLMs Unresolved cited work

Reference 6

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

source=pdf_text observed=2026-08-05T13:05:32.212408Z digest=sha256:e8124d6f133c09a544d6c7053da2f85a459633a28401dedd7a2957821034f6ab

Observation 32564f31-6703-47ad-b771-0b98fbf2e55e · outbound

This paper cites Does Thinking More always Help? Understanding Test-Time Scaling in Reasoning Models.

CoreThink: A Symbolic Reasoning Layer to reason over Long Horizon Tasks with LLMs Does Thinking More always Help? Understanding Test-Time Scaling in Reasoning Models

Reference 7

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source=pdf_text observed=2026-08-05T13:05:32.242329Z digest=sha256:3a81f771ea537d56a79f3f7855a986a4fedd9908933e5fb43805f3afe8d26cba

Observation f68711ec-f83c-45b2-963e-3e6d81b090bd · outbound

This paper cites Neurosymbolic AI and its Taxonomy: a survey.

CoreThink: A Symbolic Reasoning Layer to reason over Long Horizon Tasks with LLMs Neurosymbolic AI and its Taxonomy: a survey

Reference 8

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source=pdf_text observed=2026-08-05T13:05:32.277886Z digest=sha256:e5329668ca638ce96488ba07cb02adcfe7124357fa56c0d6a61346e3a87a2f48

Observation f801d82b-b2ca-41ed-9afe-57d26b63fecf · outbound

This paper cites A Study on Neuro-Symbolic Artificial Intelligence: Healthcare Perspectives.

CoreThink: A Symbolic Reasoning Layer to reason over Long Horizon Tasks with LLMs A Study on Neuro-Symbolic Artificial Intelligence: Healthcare Perspectives

Reference 9

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source=pdf_text observed=2026-08-05T13:05:32.298220Z digest=sha256:59315bc6a02736393586974f4a20c50165ed3acea451b8534256461856591d6f

Observation 02cda741-fa07-4c46-ae56-5afbd8ab2e8a · outbound

This paper cites LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code.

CoreThink: A Symbolic Reasoning Layer to reason over Long Horizon Tasks with LLMs LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 10

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source=pdf_text observed=2026-08-05T13:05:32.352185Z digest=sha256:41eb1fbb0ab041b8f1d72c5d0f558d7c8e1297042aba4b622d83c94c8cd04ad1

Observation 33881f04-7844-4439-bc6e-d7e2039654cc · outbound

This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.

CoreThink: A Symbolic Reasoning Layer to reason over Long Horizon Tasks with LLMs SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 11

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source=pdf_text observed=2026-08-05T13:05:32.414559Z digest=sha256:e8cfe89f94ff407ac15b528f9543190d429e6b4e80a263bc24b7c9035f4258fc

Observation 4f15fbfd-432d-4778-90e9-109dd03585ae · outbound

This paper cites Grounding and Evaluation for Large Language Models: Practical Challenges and Lessons Learned (Survey).

CoreThink: A Symbolic Reasoning Layer to reason over Long Horizon Tasks with LLMs Grounding and Evaluation for Large Language Models: Practical Challenges and Lessons Learned (Survey)

Reference 12

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source=pdf_text observed=2026-08-05T13:05:32.479542Z digest=sha256:3094b4d542194efcaf45981d1ac147b63ab9d0712e0e8e1f193fdffb2b8cdf39

Observation 81c511d6-3b67-469f-aadc-7b7e1aaaea48 · outbound

This paper cites Fast and Accurate Task Planning using Neuro-Symbolic Language Models and Multi-level Goal Decomposition.

CoreThink: A Symbolic Reasoning Layer to reason over Long Horizon Tasks with LLMs Fast and Accurate Task Planning using Neuro-Symbolic Language Models and Multi-level Goal Decomposition

Reference 13

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no resolver link, observed 2026-08-05T13:05:32.500974Z

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source=pdf_text observed=2026-08-05T13:05:32.500974Z digest=sha256:747e85c8b560ea0fd470abb9f525cc44792f5030b0d06207be23cfd22b72ea2b

Observation e6de6464-a7c4-4e90-b159-6fdbf5fb0a95 · outbound

This paper cites AI Reasoning in Deep Learning Era: From Symbolic AI to Neural–Symbolic AI.

CoreThink: A Symbolic Reasoning Layer to reason over Long Horizon Tasks with LLMs AI Reasoning in Deep Learning Era: From Symbolic AI to Neural–Symbolic AI

Reference 14

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raw_fallback, observed 2026-08-05T13:05:36.651786Z

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=pdf_text observed=2026-08-05T13:05:32.546682Z digest=sha256:7e1ea8e703a6c7cf4e5986a5f1770d94bae744bb21d1fd6f4e05e31d94c27c67

Observation df2e7bfb-0643-4cf5-b204-1b4a0f32b68d · outbound

This paper cites Surveying neuro-symbolic approaches for reliable artificial intelligence of things.

CoreThink: A Symbolic Reasoning Layer to reason over Long Horizon Tasks with LLMs Surveying neuro-symbolic approaches for reliable artificial intelligence of things

Reference 15

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

source=pdf_text observed=2026-08-05T13:05:32.624448Z digest=sha256:777ce9ea46f0a1cf8dbe027a4b96b82d070ba727604b15abab56a6ba218c295c

Observation 304256d9-1010-4e1f-85dc-599e2ac34929 · outbound

This paper cites Meincke and H.

CoreThink: A Symbolic Reasoning Layer to reason over Long Horizon Tasks with LLMs Meincke and H

Reference 16

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raw_fallback, observed 2026-08-05T13:05:36.507185Z

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=pdf_text observed=2026-08-05T13:05:32.683570Z digest=sha256:6ee5c28f55faf470ecc26af2d1bcd7e8874ac1c5fb6118086beb6287968811e2

Observation 4515cf15-dd97-4391-9f53-8eca5384fbea · outbound

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

CoreThink: A Symbolic Reasoning Layer to reason over Long Horizon Tasks with LLMs GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models

Reference 17

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source=pdf_text observed=2026-08-05T13:05:32.738010Z digest=sha256:57511882e3bf664e8f4b9a9c5553497ececd633b9c73c9f239a64fd89f6e6111

Observation ff88d9d3-53b4-4a5e-94de-3536170faed5 · outbound

This paper cites A review of neuro-symbolic AI integrating reasoning and learning.

CoreThink: A Symbolic Reasoning Layer to reason over Long Horizon Tasks with LLMs A review of neuro-symbolic AI integrating reasoning and learning

Reference 18

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

source=pdf_text observed=2026-08-05T13:05:32.785126Z digest=sha256:534d729422f87004a510b0b0546c51a7075048b1389dcdcf67771a38d2ad8e7b

Observation 0e9c8d27-9ee0-4730-adbb-bffd67ec0f84 · outbound

This paper cites Comment on The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity.

CoreThink: A Symbolic Reasoning Layer to reason over Long Horizon Tasks with LLMs Comment on The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity

Reference 19

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source=pdf_text observed=2026-08-05T13:05:32.839266Z digest=sha256:9f62cda68217817304d1510aebaf17607fe04995ef49160461753ebba1ffe920

Observation a4e11405-bb00-457b-9ec1-99c6fcf25fd7 · outbound

This paper cites PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving.

CoreThink: A Symbolic Reasoning Layer to reason over Long Horizon Tasks with LLMs PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving

Reference 20

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local_arxiv, observed 2026-08-05T13:05:35.179327Z

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=pdf_text observed=2026-08-05T13:05:32.930669Z digest=sha256:100758f1f2bab3ad2093979e7989dccbe4d6e768b103d5ffbfa468d254fde45c

Observation b1778b23-5ce7-41e3-966f-7ba00be560a2 · outbound

This paper cites The Berkeley Function Calling Leaderboard (BFCL): From Tool Use to Agentic Evaluation of Large Language Models.

CoreThink: A Symbolic Reasoning Layer to reason over Long Horizon Tasks with LLMs The Berkeley Function Calling Leaderboard (BFCL): From Tool Use to Agentic Evaluation of Large Language Models

Reference 21

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raw_fallback, observed 2026-08-05T13:05:36.220495Z

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

source=pdf_text observed=2026-08-05T13:05:33.010938Z digest=sha256:54d3423303ee676fad0d2cc5265a625cc6230469579d7ee70d0561c632df3a5c

Observation acc9d7b8-d6f1-49c1-8d49-78d4fdd6b2c2 · outbound

This paper cites Transparent AI: The Case for Interpretability and Explainability.

CoreThink: A Symbolic Reasoning Layer to reason over Long Horizon Tasks with LLMs Transparent AI: The Case for Interpretability and Explainability

Reference 22

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local_arxiv, observed 2026-08-05T13:05:35.041276Z

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

source=pdf_text observed=2026-08-05T13:05:33.225290Z digest=sha256:6852ddb800554bc0fbc79b0597e2dde864ab5975c050b4de4ae2c76052ad3d47

Observation cf8d3e91-4503-40e8-804b-9f293deed37e · outbound

This paper cites Internal Study on Chain-of-Thought Faithfulness.

CoreThink: A Symbolic Reasoning Layer to reason over Long Horizon Tasks with LLMs Internal Study on Chain-of-Thought Faithfulness

Reference 23

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

source=pdf_text observed=2026-08-05T13:05:33.272280Z digest=sha256:2b521698a8f6d173244b7af3c86a897f3eb0603bd9fd36db27972e440ad77a98

Observation 26707d3e-692b-4566-a88e-09632de787c9 · outbound

This paper cites The Case Against Explainability.

CoreThink: A Symbolic Reasoning Layer to reason over Long Horizon Tasks with LLMs The Case Against Explainability

Reference 24

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verified exact
local_arxiv, observed 2026-08-05T13:05:34.905224Z

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

source=pdf_text observed=2026-08-05T13:05:33.288307Z digest=sha256:fe51fc9131b72213c0a3c18d2dd0c4e184121d1dec8d335d3db8c355f73be8fd

Observation 903f13ea-87b0-4b0d-9473-f58b512f3217 · outbound

This paper cites The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity.

CoreThink: A Symbolic Reasoning Layer to reason over Long Horizon Tasks with LLMs The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity

Reference 25

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source=pdf_text observed=2026-08-05T13:05:33.353251Z digest=sha256:db92a4a76d0f0b62dc0e4c27251528deca1f12d823a375bbacef6abd448503ec

Observation 9736c180-9106-47b0-8e4e-2f1903374105 · outbound

This paper cites Medical Visual Question Answering with Chain-of-Thought Explanations.

CoreThink: A Symbolic Reasoning Layer to reason over Long Horizon Tasks with LLMs Medical Visual Question Answering with Chain-of-Thought Explanations

Reference 26

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

source=pdf_text observed=2026-08-05T13:05:33.427312Z digest=sha256:2b1cbd908e28f5465d7b09620ebe21b128997fbe817a0ac40ec1f61bca5831f9

Observation 7ef1440b-b096-4cb0-8489-383f9ede92f0 · outbound

This paper cites Chain of Thoughtlessness? An Analysis of CoT in Planning.

CoreThink: A Symbolic Reasoning Layer to reason over Long Horizon Tasks with LLMs Chain of Thoughtlessness? An Analysis of CoT in Planning

Reference 27

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source=pdf_text observed=2026-08-05T13:05:33.501250Z digest=sha256:55ad4e0acd4795879c3345c659379d66df59bc08ddcdbdcce0a989b1e1dbc06e

Observation fc721893-b3ed-4f92-8901-87e9f358da1a · outbound

This paper cites Between Underthinking and Overthinking: An Empirical Study of Reasoning Length and correctness in LLMs.

CoreThink: A Symbolic Reasoning Layer to reason over Long Horizon Tasks with LLMs Between Underthinking and Overthinking: An Empirical Study of Reasoning Length and correctness in LLMs

Reference 28

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source=pdf_text observed=2026-08-05T13:05:33.533803Z digest=sha256:cc5bd0ef49a2ef20736e875088c434caa74ff18b87d9a5d7f612f17c4b07f266

Observation 28741b09-a51d-4931-97e5-b17f1e881257 · outbound

This paper cites Evals: An Extensible Framework for Evaluating Large Language Models.

CoreThink: A Symbolic Reasoning Layer to reason over Long Horizon Tasks with LLMs Evals: An Extensible Framework for Evaluating Large Language Models

Reference 29

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raw_fallback, observed 2026-08-05T13:05:35.763718Z

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

source=pdf_text observed=2026-08-05T13:05:33.598755Z digest=sha256:31b96d926f62b0d7a6c158a99e8d4b09be7aaee1c809625489cb9d2d8714cd3b

Observation 3712911a-c282-4c45-8e02-f57f4eec3d21 · outbound

This paper cites Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting.

CoreThink: A Symbolic Reasoning Layer to reason over Long Horizon Tasks with LLMs Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting

Reference 30

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source=pdf_text observed=2026-08-05T13:05:33.670993Z digest=sha256:ecb691a39a64082e21e3dbb56e87efa624b816a8fbee940b16a1a1a9b70e852e

Observation ca01ad81-91f9-4a27-a92f-8287cd1823b2 · outbound

This paper cites LLMs Still Can't Plan; Can LRMs? A Preliminary Evaluation of OpenAI's o1 on PlanBench.

CoreThink: A Symbolic Reasoning Layer to reason over Long Horizon Tasks with LLMs LLMs Still Can't Plan; Can LRMs? A Preliminary Evaluation of OpenAI's o1 on PlanBench

Reference 31

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source=pdf_text observed=2026-08-05T13:05:33.736041Z digest=sha256:29d4ac45b96e2f47cf8ca96c41dadc0c5618aef15f5185168e289308690a6c27

Observation 772fe328-eb0f-4100-9450-91c7e4e09199 · outbound

This paper cites Towards Efficient Neuro-Symbolic AI: From Workload Characterization to Hardware Architecture.

CoreThink: A Symbolic Reasoning Layer to reason over Long Horizon Tasks with LLMs Towards Efficient Neuro-Symbolic AI: From Workload Characterization to Hardware Architecture

Reference 32

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local_arxiv, observed 2026-08-05T13:05:34.659396Z

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=pdf_text observed=2026-08-05T13:05:33.779719Z digest=sha256:6c4ca5c77de90b473358e0cb72e3a013992ead48ad6775b668db29e1aaa08e65

Observation c1e410d2-fdcc-49dc-9d17-b3127beddb30 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

CoreThink: A Symbolic Reasoning Layer to reason over Long Horizon Tasks with LLMs Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 33

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source=pdf_text observed=2026-08-05T13:05:33.842264Z digest=sha256:eeb783656ba8ba8ad0f7f9195ad02abe89470483e182bb2c25b694cde0a95eba

Observation 41c81f73-716b-4208-8207-c31e7daf6eb8 · outbound

This paper cites Hallucination is Inevitable: An Innate Limitation of Large Language Models.

CoreThink: A Symbolic Reasoning Layer to reason over Long Horizon Tasks with LLMs Hallucination is Inevitable: An Innate Limitation of Large Language Models

Reference 34

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:05:33.953593Z digest=sha256:1941bdfcdec6af2f878d7593e227458803712a124ca5c74fde5e0cb0f1aeddf7

Observation 87b59324-d0cd-4126-9512-9f2384f30dfe · outbound

This paper cites Qwen3 Technical Report.

CoreThink: A Symbolic Reasoning Layer to reason over Long Horizon Tasks with LLMs Qwen3 Technical Report

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-05T13:05:34.020565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:05:34.020565Z digest=sha256:15cd72f832a9c4d0134607f53df0ada58ce1b869d69072fbd910ea2b81593ad3

Observation 3cf94b63-dc4c-418c-92ff-803c3a6ebbb8 · outbound

This paper cites $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains.

CoreThink: A Symbolic Reasoning Layer to reason over Long Horizon Tasks with LLMs $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-05T13:05:34.062741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:05:34.062741Z digest=sha256:6ae51d077b7caf9e98aba273c5b82d3e74b5b0a8c6a6f00588edccf40affc896

Observation 75e208a5-1262-4815-b4cd-4557b3fe2f3e · outbound

This paper cites Neuro-Symbolic AI: Explainability, Challenges, and Future Trends.

CoreThink: A Symbolic Reasoning Layer to reason over Long Horizon Tasks with LLMs Neuro-Symbolic AI: Explainability, Challenges, and Future Trends

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-05T13:05:34.136406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:05:34.136406Z digest=sha256:01bbe12e0d1d389286c8b24f30ec8b211956a52a3a9d04358aac1ee45cb4d291

Observation baa9bca0-d120-4593-9584-9418e7163400 · outbound

This paper cites my_function.

CoreThink: A Symbolic Reasoning Layer to reason over Long Horizon Tasks with LLMs my_function

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-05T13:05:34.208531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:05:34.208531Z digest=sha256:483873245f4c99b3bf31ba0327204a79bc75307aed0bd44a7ef6567bf142b7ef

Observation 24eacee2-be9b-4c45-beba-66f1b2269d21 · outbound

This paper cites Visual Question Answering in the Medical Domain.

CoreThink: A Symbolic Reasoning Layer to reason over Long Horizon Tasks with LLMs Visual Question Answering in the Medical Domain

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-05T13:05:32.085493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:05:32.085493Z digest=sha256:3a764082000c7b69cbad86788ed155a158729f5fe16b99bf890d60e78223e597

Observation e281a368-54e3-47bb-b45f-d30f87c33556 · outbound

This paper cites an unresolved cited work.

CoreThink: A Symbolic Reasoning Layer to reason over Long Horizon Tasks with LLMs Unresolved cited work

Reference 2025

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:05:36.078215Z

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=pdf_text observed=2026-08-05T13:05:33.122665Z digest=sha256:19a1624f6ac339b013afdad6ecc486a5eab2a64be0f3f94c807bb90703c0edac

Pith citing papers

No inbound Pith citation observations are available.