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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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T11:09:17.429829Z digest=sha256:bd74f9fcbff0176eb8dc57399aa7615afe564c6183cd7c3df6367be8dbf9c41a

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T11:09:17.433644Z digest=sha256:62aaff26699d0423c5d4d83be7e00e3795b753365abb39f12082729dfc645b32

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T11:09:17.437302Z digest=sha256:5c32a2b7e20f45dfdfef8e25a8e61d40f786789ec573eb9aa83768527fffe6be

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:a24963043bc5380d060faae16a11ff84346adc07d53fa5aea2dd96780fedeca4

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=sha256:8428e67056e6fda36efe0a1198645ae19bc32c86d70840863167d61372151a64

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T11:09:17.450619Z digest=sha256:025fb2ede1f4d0bbb71749c285ff2b420cd03b707960577cf6798662f08a9693

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T11:09:17.454353Z digest=sha256:489e4060061bff95eeb5c6037f9edd894623fe61053bf88e459b3c3874b19a09

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T11:09:17.457844Z digest=sha256:cdd650857646709c613aa22b6fdfba2bd4ec4c7f1e502f7cc1cc3ddff6fca952

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=sha256:960476bdee0ac0d5f2752c5083966d685574fd54c2e2c30d8b887655aa8c65cc

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T11:09:17.464693Z digest=sha256:671de9a963330fad37b37078bba79a124f41b243ce134aee48749ca4883eb39b

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T11:09:17.468007Z digest=sha256:9fb06b0594dfab692beb45ffc1f6338ed423f0e6deb707711d2ef1d74c316360

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T11:09:17.471527Z digest=sha256:40422ffe2ceb196f539a878ac31ab9aa216c606b9af28cc3d2c84a63bfca7d12

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T11:09:17.474992Z digest=sha256:9902bbf84a8554ed6892f832ccb460ea5ac330a5bb574c12dee7497b678169d4

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=sha256:36c7ffd53e0ceb6e13defc4748fd620cd421b3bb37cd40ed2ea9b6d91f36ebd0

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:d3633860a398fbc3d7d78b1df66ecefb9c7bdb93a78d5d860979a6c565cdabaa

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:a49b5a4f7d8ddedfcf21d8f9667030aa9731cbe3db3a1e141ffc4f7112bb5f5d

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=sha256:788d0a70d24bb95595c0ccd9aa018af7be5c04a919474c1ab133a7bbb8b16fe4

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:d1e2afaed6d45fd95b252fa8c4e02c83876b241341de58d57f63f1815523678b

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T11:09:17.493565Z digest=sha256:c86bd733cbd8acd372859ee9f65a3ec5c72627c9b2fb75ac10383dae94e19a65

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T11:09:17.496443Z digest=sha256:df49744aace98995ec8034563b3dc74f6c1d87c0fb4a3bb34104b701abfdbdb7

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=sha256:8ed3dd3c020dac0d79a91b4c3fe82a392ae576efb713071fa6cf962a56133f54

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:dfe40414dd31eed547ab4a7abe11eb9bee61a7d0f316b087df20a93ace30d910

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:bb6d2b4ab7123d04a8c4097aea793013e17e26136b5c463aa35cdfc76aae6837

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=sha256:6fc46fc4bc22ef671200f0b2d38511ad26e4b816d99243109bed05cbe52f009d

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:c39772a4170d9e814316af75dfecbbdfb2512a396fe93db0f00c07022367afa6

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:a430bedd2f6930622ddfa6f05940fae472c802fa57a8a0223ccf37dd0264c9e0

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=sha256:9d57961183101b0679460173904fa09343507edc5544822afe1666d92a23ba8c

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=sha256:34669581af0a564a6c00ca5eb0b0d1e650f822dfd294a211a7d401b2fbab0985

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T19:26:23.660206Z digest=sha256:d0dee396318987864438a9a13ec58c48b31a653863ae1ca0b317d9319fa15f51