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Paper Citation Record · LEDGER

Dspy-based Neural-Symbolic Pipeline to Enhance Spatial Reasoning in LLMs

As of 13 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 1 inbound Pith citation observation for arXiv:2411.18564.

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

pith.paper-citation-record.v1
2411.18564 v2

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:09:17.521501Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T19:26:23.660206Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T23:00:47.626430Z

Reference resolution

28 of 28 outbound references displayed

  • verified exact2
  • verified fuzzy3
  • unresolved23
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e0de1aae-bf0c-4955-8d57-d83dfce16ef3 · outbound

This paper cites A multitask, multilingual, multimodal evaluation of ChatGPT on reasoning, hallucination, and interactivity.

Dspy-based Neural-Symbolic Pipeline to Enhance Spatial Reasoning in LLMs A multitask, multilingual, multimodal evaluation of ChatGPT on reasoning, hallucination, and interactivity

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:09:17.941006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T11:09:17.429829Z digest=sha256:c3cec1070eee67b8150166296f874b1288bead1ec4c621f27d5c58a0ffa1bb18

Observation 70bed5d8-1838-450a-a7d0-409b9fa223fa · outbound

This paper cites R., d’Avila Garcez, A., Bader, S., Bowman, H., Domingos, P., Hitzler, P., Kühnberger, K.-U., Lamb, L.

Dspy-based Neural-Symbolic Pipeline to Enhance Spatial Reasoning in LLMs R., d’Avila Garcez, A., Bader, S., Bowman, H., Domingos, P., Hitzler, P., Kühnberger, K.-U., Lamb, L

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:09:17.931121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T11:09:17.433644Z digest=sha256:40227790d718a5c3fe08068ade3c1d646c67438b4f0f2f0830181e6cc41073f6

Observation 0568e024-acf0-4714-bc11-cc6273d6d51a · outbound

This paper cites an unresolved cited work.

Dspy-based Neural-Symbolic Pipeline to Enhance Spatial Reasoning in LLMs Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-12T11:09:17.921918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T11:09:17.437302Z digest=sha256:727ca9e32a30957dad301b48b47682f3c703b364b6fc88329ecff4142c7a1a57

Observation 5da020c6-c030-4dd6-b4b2-a1c632396500 · outbound

This paper cites Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future.

Dspy-based Neural-Symbolic Pipeline to Enhance Spatial Reasoning in LLMs Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T11:09:17.442405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:09:17.442405Z digest=sha256:d7e5addc5a2cd9126d6bf52c3a159a23a885c9ea463bfb9db8b12bb7530be921

Observation b6fec491-e674-4a07-99a1-c44a7e05f0cb · outbound

This paper cites An Evaluation of ChatGPT-4's Qualitative Spatial Reasoning Capabilities in RCC-8.

Dspy-based Neural-Symbolic Pipeline to Enhance Spatial Reasoning in LLMs An Evaluation of ChatGPT-4's Qualitative Spatial Reasoning Capabilities in RCC-8

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-12T11:09:17.446181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:09:17.446181Z digest=sha256:5e1812f72befe3230823bbe28fa53a80ec2065e5d51a80cfd8d0cdaf0ec1849a

Observation d21f76bc-cacb-4c37-aae7-bef0390a3ca8 · outbound

This paper cites an unresolved cited work.

Dspy-based Neural-Symbolic Pipeline to Enhance Spatial Reasoning in LLMs Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-12T11:09:17.913256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T11:09:17.450619Z digest=sha256:c57c61718ea6788cbde23ffbb82ad86c1ef670cc3607483d4e2343e744668def

Observation 0c428839-87ba-4c8d-bd48-f34ebf74ebe9 · outbound

This paper cites an unresolved cited work.

Dspy-based Neural-Symbolic Pipeline to Enhance Spatial Reasoning in LLMs Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-12T11:09:17.904549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T11:09:17.454353Z digest=sha256:cf0da4fa1ac1593276e8dee656dacbbfb983faee1f3226e504e6cc060f760bae

Observation 95e5b4af-ebd3-4b47-8708-3bfe19606726 · outbound

This paper cites an unresolved cited work.

Dspy-based Neural-Symbolic Pipeline to Enhance Spatial Reasoning in LLMs Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-12T11:09:17.894134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T11:09:17.457844Z digest=sha256:c916ed8e3096d9537bf16975713513a4dc8522e85f6e159d25463d743181620c

Observation b01999b6-45b5-4146-af9a-754b11bb9967 · outbound

This paper cites PAL: Program-aided Language Models.

Dspy-based Neural-Symbolic Pipeline to Enhance Spatial Reasoning in LLMs PAL: Program-aided Language Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T11:09:17.461205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:09:17.461205Z digest=sha256:140960b23b38a1eac260066c5a7e42646a565f862da5e3f975c34948c35daa2e

Observation ca503b5f-db3f-4dad-bad0-8056d18b29dc · outbound

This paper cites an unresolved cited work.

Dspy-based Neural-Symbolic Pipeline to Enhance Spatial Reasoning in LLMs Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-12T11:09:17.884530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T11:09:17.464693Z digest=sha256:ca9e2be48a5a6bc41f832792b06e8d71939f3bc7e29811bc2c2453b8cbf9e13e

Observation 9f078009-85c0-4c22-a4ba-44d4a9a3b5a9 · outbound

This paper cites Explainable Answer-set Programming.

Dspy-based Neural-Symbolic Pipeline to Enhance Spatial Reasoning in LLMs Explainable Answer-set Programming

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-12T11:09:17.679129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T11:09:17.468007Z digest=sha256:13aa776a04313fd71986832941b81dc5f24a0f790773298c35b34bc96195791f

Observation cbd4feac-4d7e-48ba-924b-545979e6b214 · outbound

This paper cites an unresolved cited work.

Dspy-based Neural-Symbolic Pipeline to Enhance Spatial Reasoning in LLMs Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-12T11:09:17.733631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T11:09:17.471527Z digest=sha256:bda5913d1d203e259eef78478a4464aef72f504984d69f540bf6a947505a2542

Observation e0ee0898-16d0-47e1-b235-0ff9f5cf86d7 · outbound

This paper cites Leveraging Large Language Models to Generate Answer Set Programs.

Dspy-based Neural-Symbolic Pipeline to Enhance Spatial Reasoning in LLMs Leveraging Large Language Models to Generate Answer Set Programs

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-12T11:09:17.666084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T11:09:17.474992Z digest=sha256:c483a6e90058887fcb1b4f8c5c9164cd30be85507ae0c1a74430f53d156c43aa

Observation a511fcb9-2105-4b15-92c1-2b944662c83c · outbound

This paper cites DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines.

Dspy-based Neural-Symbolic Pipeline to Enhance Spatial Reasoning in LLMs DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-12T11:09:17.478141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:09:17.478141Z digest=sha256:6053e54386f3bbeb8d8a5983da6ff8ac8e9d64d06ec49b883ecb858287bc6e79

Observation 48b9549b-3b43-4c82-9679-c99ffb4dec66 · outbound

This paper cites Transfer Learning with Synthetic Corpora for Spatial Role Labeling and Reasoning.

Dspy-based Neural-Symbolic Pipeline to Enhance Spatial Reasoning in LLMs Transfer Learning with Synthetic Corpora for Spatial Role Labeling and Reasoning

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-12T11:09:17.481360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:09:17.481360Z digest=sha256:76d494b693f20ae228eb9fac5f29f7b078c8819fdeb5da81a37aea364b128bdc

Observation 405b027e-cab1-45ad-861b-d906917ec122 · outbound

This paper cites Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning.

Dspy-based Neural-Symbolic Pipeline to Enhance Spatial Reasoning in LLMs Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-12T11:09:17.484366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:09:17.484366Z digest=sha256:c29307b600207f8061edf460f9796d30bf5e1c274338356c6ac898a2c35863a4

Observation 1fcd5e45-089f-474d-bbda-56684d1e5abb · outbound

This paper cites TALM: Tool Augmented Language Models.

Dspy-based Neural-Symbolic Pipeline to Enhance Spatial Reasoning in LLMs TALM: Tool Augmented Language Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-12T11:09:17.487141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:09:17.487141Z digest=sha256:a9cc523d12de732228d3c73d87d06f669174ef7bbd92414cdebd068499162571

Observation 5bc0fbf7-d543-445b-9e77-8e882c6cdc6d · outbound

This paper cites Logical Neural Networks.

Dspy-based Neural-Symbolic Pipeline to Enhance Spatial Reasoning in LLMs Logical Neural Networks

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-12T11:09:17.490453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:09:17.490453Z digest=sha256:eed27c07c6b933b2b1f1240c18c2236ac40c4400ba6832e1ba5509c135c975d7

Observation c46d8f01-ba2f-4342-82a6-c328e466cb20 · outbound

This paper cites and Schütze, H.

Dspy-based Neural-Symbolic Pipeline to Enhance Spatial Reasoning in LLMs and Schütze, H

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:09:17.724967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T11:09:17.493565Z digest=sha256:878f184828f8eceb2351ab2118a15eea043ba01ea0f288582f39c1d4e730458e

Observation 39271f26-f5d6-488a-b07c-d04dbfc6b180 · outbound

This paper cites an unresolved cited work.

Dspy-based Neural-Symbolic Pipeline to Enhance Spatial Reasoning in LLMs Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-12T11:09:17.715838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-12T11:09:17.496443Z digest=sha256:eb69c108b5a8fc09c1c8942a3afc2a0cd1f9de60fef2e9c0cad20d27a0ab2ac7

Observation 81e011da-745a-4839-8a59-285494a8e9ad · outbound

This paper cites Towards Cognitive AI Systems: a Survey and Prospective on Neuro-Symbolic AI.

Dspy-based Neural-Symbolic Pipeline to Enhance Spatial Reasoning in LLMs Towards Cognitive AI Systems: a Survey and Prospective on Neuro-Symbolic AI

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-12T11:09:17.499482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:09:17.499482Z digest=sha256:6c3089ded14148f868a8b720aff7f383e310c8e8d3aa7b437eefcf68f4b61948

Observation 277df9b3-40b4-4e86-b74a-64856cb533cf · outbound

This paper cites Review of Large Vision Models and Visual Prompt Engineering.

Dspy-based Neural-Symbolic Pipeline to Enhance Spatial Reasoning in LLMs Review of Large Vision Models and Visual Prompt Engineering

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-12T11:09:17.502667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:09:17.502667Z digest=sha256:b4078bfaf78be66f61f8ff50884c3f5190a43c510f4760173ae78821621a60d9

Observation b32db158-f3e4-4a52-a4ea-ca1908911631 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Dspy-based Neural-Symbolic Pipeline to Enhance Spatial Reasoning in LLMs Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-12T11:09:17.505620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:09:17.505620Z digest=sha256:fc178272e40fc1b01b7fee9768fcff56885ae4d0d3479d153e0bdae89c0e0643

Observation 70da3f09-4dbc-4854-8ca7-480c2ff0cbd5 · outbound

This paper cites NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language.

Dspy-based Neural-Symbolic Pipeline to Enhance Spatial Reasoning in LLMs NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-12T11:09:17.509057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:09:17.509057Z digest=sha256:d0023cad59d08c89529f9a53b93d7ae75334a00aaa7ef6c1e2400a10110e41b5

Observation f234a62b-4cab-4115-9e4c-19e2a118685e · outbound

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

Dspy-based Neural-Symbolic Pipeline to Enhance Spatial Reasoning in LLMs Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-12T11:09:17.512076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:09:17.512076Z digest=sha256:5c874cd3e92b2b380decfb0aebb19e5d99230a01aaf85be2e96179931f46144c

Observation f771ac97-3cdd-40a6-9907-7ab19615ef34 · outbound

This paper cites Coupling Large Language Models with Logic Programming for Robust and General Reasoning from Text.

Dspy-based Neural-Symbolic Pipeline to Enhance Spatial Reasoning in LLMs Coupling Large Language Models with Logic Programming for Robust and General Reasoning from Text

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-12T11:09:17.515032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:09:17.515032Z digest=sha256:8dc71320bc8e9a61f565c72105037b3c5f8bd32f66669135ae0da9150630d023

Observation 604c28dd-b66f-4946-a48a-11348f9b4c07 · outbound

This paper cites NeurASP: Embracing Neural Networks into Answer Set Programming.

Dspy-based Neural-Symbolic Pipeline to Enhance Spatial Reasoning in LLMs NeurASP: Embracing Neural Networks into Answer Set Programming

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-12T11:09:17.518402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:09:17.518402Z digest=sha256:5a8c933b478617acc16ad3457fba5d9876fbfdf83b8ac294e96b355aa6d2a532

Observation e08b514f-ed4b-49c4-9fea-504b0cb9a069 · outbound

This paper cites Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.

Dspy-based Neural-Symbolic Pipeline to Enhance Spatial Reasoning in LLMs Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-12T11:09:17.521501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:09:17.521501Z digest=sha256:d447f17828533a27eb7c103395a12b930fde124c3ae439792a2cc711b7de6b3d

Pith citing papers

Observation 5052827e-79b7-4c94-a8c9-e670fccba202 · inbound

LAST: Leveraging Tools as Hints to Enhance Spatial Reasoning for Multimodal Large Language Models cites this paper.

LAST: Leveraging Tools as Hints to Enhance Spatial Reasoning for Multimodal Large Language Models Dspy-based Neural-Symbolic Pipeline to Enhance Spatial Reasoning in LLMs

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:00:47.628348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T19:26:23.660206Z digest=sha256:279b32d8877d621c346dfb748e99bb21da0374b87d18a57b10035631d62e4aaa