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Paper Citation Record · LEDGER

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

As of 14 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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T11:09:17.429829Z digest=sha256:5f20f092b0e01171d80e0710a782b780ff86a0ae35da5ea7678ed53e94f2282e

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T11:09:17.433644Z digest=sha256:cf85048f73081f6831656b0d126683c4055529f056c5025cc279acb4a9b2b939

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T11:09:17.437302Z digest=sha256:ba41e54b6d91aaf4ab81a75b467f3e02c96a37ecb6df90551b6ce86d9b0ea464

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T11:09:17.450619Z digest=sha256:6662edc6d4b48f883a3e5b93e06636225bcaa672a96b42f8062b4f25e9576d9b

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T11:09:17.454353Z digest=sha256:8e2833c83ead656dcf8bb73954f560585a7d1ecf6f9ee2041529651431b1f74b

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T11:09:17.457844Z digest=sha256:4eeb3ae5705d057916d1d065d3c4c797023eb3d457d732adaf5a36321cc70468

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T11:09:17.464693Z digest=sha256:08ed505ddeba9dee3c80ee1435769a7fed3dc0ea35da66b9fffd8389aae04195

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T11:09:17.468007Z digest=sha256:f851e0a5c4dabfb48f3a9e0a79a49fcfc3eba8733fe4f56bcea5815bbbeaaba8

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T11:09:17.471527Z digest=sha256:3639caee0ba6234b32ede5dafd957d2944bd98128fb153d62944608da8e33885

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T11:09:17.474992Z digest=sha256:f842365c3fb403ee6767cbba66646622d154769ac15cc190b267e8fbe699428d

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:dbc85e6d4a343ee27e2b223cb719b6408d271ce574dd113aaa5a4853b06f2ae9

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=sha256:338c77cfe64d48d835229afa83a67c945c2adc7e78b2555c4eca7f65c4723fba

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=sha256:4e0dbb769a9b2d03ff3d267139a1775444ebd36be41de66e1e88fa1ed8548687

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T11:09:17.493565Z digest=sha256:87ae4fec80cbf0c2ec71aded741e1ab2d1b75a3d8f2153436ed5784c2abba107

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T11:09:17.496443Z digest=sha256:4e4790705413bf4a0cc3f557420cb7cd1dd3f297684cb1d7d75adf4f2dc3aab7

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:ed748a44cfec62c90380a8a170369c40b8e1d7de36d043a747c5ebfaf048c49b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T19:26:23.660206Z digest=sha256:53806e642b07918989fbca99ccc299234ec914ab32890acc2cfca9fac01f0401