Pith. sign in

Paper Citation Record · LEDGER

KnowledgePrompts: Exploring the Abilities of Large Language Models to Solve Proportional Analogies via Knowledge-Enhanced Prompting

As of 15 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 1 inbound Pith citation observation for arXiv:2412.00869.

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

pith.paper-citation-record.v1
2412.00869 v2

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:58:18.257116Z

measured 18 of 18 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 2026-08-10T21:16:23.956409Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T21:16:24.082461Z

Reference resolution

17 of 17 outbound references displayed

  • verified exact0
  • verified fuzzy9
  • unresolved1
  • parse uncertain6
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 68d8f22a-5f67-42d7-9c47-53879fb56bf4 · outbound

This paper cites Fireplace.

KnowledgePrompts: Exploring the Abilities of Large Language Models to Solve Proportional Analogies via Knowledge-Enhanced Prompting Fireplace

Reference 1

Resolution
parse uncertain
raw_fallback, observed 2026-08-12T04:58:18.447997Z

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=2026-08-12T04:58:18.207921Z digest=sha256:f061066fe17339c7eb5c5e73a1f86a0bfc2645ac7672cc3537940f92805dc2a4

Observation 8534602e-edb3-4b84-96d2-fce020ae8bf2 · outbound

This paper cites Star" and.

KnowledgePrompts: Exploring the Abilities of Large Language Models to Solve Proportional Analogies via Knowledge-Enhanced Prompting Star" and

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:58:18.495258Z

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=2026-08-12T04:58:18.182551Z digest=sha256:121860a4c4392663e6131e85a90568042d8f3c4a0652bb611423d87ba837834e

Observation 426cd675-4362-41fb-803f-76a7caf8656e · outbound

This paper cites Ink" and.

KnowledgePrompts: Exploring the Abilities of Large Language Models to Solve Proportional Analogies via Knowledge-Enhanced Prompting Ink" and

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:58:18.527443Z

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=2026-08-12T04:58:18.172307Z digest=sha256:6370ad2601681d2a5eecb63c7f1374c4aa2fe2a8e76f3519c2b93376d4921048

Observation de7a7b3d-26e2-477d-93d2-f831f533646d · outbound

This paper cites Ink" and.

KnowledgePrompts: Exploring the Abilities of Large Language Models to Solve Proportional Analogies via Knowledge-Enhanced Prompting Ink" and

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:58:18.479479Z

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=2026-08-12T04:58:18.192432Z digest=sha256:addb492531ada42b268153fc4b207f16a204562f8fc065f545a28b32742c60fb

Observation e4b903c7-4cf6-4716-aab3-684ea9b8c2a3 · outbound

This paper cites Guitar" and.

KnowledgePrompts: Exploring the Abilities of Large Language Models to Solve Proportional Analogies via Knowledge-Enhanced Prompting Guitar" and

Reference 10

Resolution
parse uncertain
raw_fallback, observed 2026-08-12T04:58:18.511550Z

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=2026-08-12T04:58:18.198223Z digest=sha256:27ab6574ce6ef52dd764a546b67bfd14f08a172f7677c0b6d3f2f3176bd1346a

Observation 40496b71-b909-4e85-9599-acd063d9d28e · outbound

This paper cites Star" and.

KnowledgePrompts: Exploring the Abilities of Large Language Models to Solve Proportional Analogies via Knowledge-Enhanced Prompting Star" and

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:58:18.463843Z

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=2026-08-12T04:58:18.202874Z digest=sha256:1c68becba7934d3dd8445b19c419744a4500fed595b5c6e005c02b0fcfd67a07

Observation 24a65906-f8b8-430d-ab8d-d743ffd581da · outbound

This paper cites Curtain" and.

KnowledgePrompts: Exploring the Abilities of Large Language Models to Solve Proportional Analogies via Knowledge-Enhanced Prompting Curtain" and

Reference 13

Resolution
parse uncertain
raw_fallback, observed 2026-08-12T04:58:18.432135Z

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=2026-08-12T04:58:18.212819Z digest=sha256:070632e482684f4200c04e58ea5a6cb0f04296ea425a0b9c1decc485d0eb1a28

Observation 527f0168-6ff7-4bbc-ad86-7dc4a643810f · outbound

This paper cites Shutter" and.

KnowledgePrompts: Exploring the Abilities of Large Language Models to Solve Proportional Analogies via Knowledge-Enhanced Prompting Shutter" and

Reference 14

Resolution
parse uncertain
raw_fallback, observed 2026-08-12T04:58:18.413298Z

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=2026-08-12T04:58:18.217679Z digest=sha256:73b3a95ccb2c6c6416660950d3833ed687756c6528fd1970fd08bdf24328f79e

Observation 6be44f09-0587-4809-b712-8db47eb0222d · outbound

This paper cites Sieve" and.

KnowledgePrompts: Exploring the Abilities of Large Language Models to Solve Proportional Analogies via Knowledge-Enhanced Prompting Sieve" and

Reference 15

Resolution
parse uncertain
raw_fallback, observed 2026-08-12T04:58:18.395500Z

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=2026-08-12T04:58:18.223106Z digest=sha256:10695782d6d10f04bb86b756811027ed7dfd7f6223c6b8fa9665ad8dd245de97

Observation df4ae3f3-8fdb-4c5e-ba34-4b351b6a9b66 · outbound

This paper cites Window" and.

KnowledgePrompts: Exploring the Abilities of Large Language Models to Solve Proportional Analogies via Knowledge-Enhanced Prompting Window" and

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:58:18.379519Z

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=2026-08-12T04:58:18.228426Z digest=sha256:54c60d496e3ee908676242365d1a6446a740e581a075c6062e875f1d608268f6

Observation 423d5cff-5320-46d7-94e0-bdbb200f03b0 · outbound

This paper cites Ink" and.

KnowledgePrompts: Exploring the Abilities of Large Language Models to Solve Proportional Analogies via Knowledge-Enhanced Prompting Ink" and

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:58:18.363387Z

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=2026-08-12T04:58:18.237704Z digest=sha256:12f8136282b418fc495e1678389f6fd0630c7266e4e7c67cbad8d783101f4b02

Observation 54cd7cf7-8b41-4a61-a213-f5026496d76a · outbound

This paper cites Ink" and.

KnowledgePrompts: Exploring the Abilities of Large Language Models to Solve Proportional Analogies via Knowledge-Enhanced Prompting Ink" and

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:58:18.348084Z

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=2026-08-12T04:58:18.247569Z digest=sha256:a47ddc574633f2bc0e827012b2a79605530f148a4b2bfb7956d7c2c42c0641ca

Observation 2556a567-9fd9-4c24-a3f4-bcf389431387 · outbound

This paper cites Sweater" and.

KnowledgePrompts: Exploring the Abilities of Large Language Models to Solve Proportional Analogies via Knowledge-Enhanced Prompting Sweater" and

Reference 21

Resolution
parse uncertain
raw_fallback, observed 2026-08-12T04:58:18.542686Z

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=2026-08-12T04:58:18.252579Z digest=sha256:476a6edd6a5cd6fd39994f6dd080a01d6a3a994a96336294487fdf9c5fb2b5f5

Observation d4fba3aa-fdc4-47d9-add9-5f7db3c01ef3 · outbound

This paper cites Ink" and.

KnowledgePrompts: Exploring the Abilities of Large Language Models to Solve Proportional Analogies via Knowledge-Enhanced Prompting Ink" and

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:58:18.331548Z

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=2026-08-12T04:58:18.257116Z digest=sha256:0f3ed1440fe088690bf0e4811b927fc73df13581184750fe3954c9186cddabef

Observation ff0f3ab8-83e7-4ffb-8fae-9a7547129e04 · outbound

This paper cites Orca: Progressive Learning from Complex Explanation Traces of GPT-4.

KnowledgePrompts: Exploring the Abilities of Large Language Models to Solve Proportional Analogies via Knowledge-Enhanced Prompting Orca: Progressive Learning from Complex Explanation Traces of GPT-4

Reference 2013

Resolution
malformed identifier
no resolver link, observed 2026-08-12T04:58:18.160154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:58:18.160154Z digest=sha256:3d486e2598efd2c2dfd5da34ce220f21723c5e3c1c3a9d1a5e6409458e352777

Observation 44878064-c0a8-440e-a9de-92c68d635931 · outbound

This paper cites arXiv preprint.

KnowledgePrompts: Exploring the Abilities of Large Language Models to Solve Proportional Analogies via Knowledge-Enhanced Prompting arXiv preprint

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:58:18.558512Z

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=2026-08-12T04:58:18.147920Z digest=sha256:f2ab646b4775a74bfa25a6e548eedc5b1b5ea098820c8ceb3213942b700843c0

Observation a8bab8c1-168d-49a3-91b7-3d53fc4ec747 · outbound

This paper cites A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models.

KnowledgePrompts: Exploring the Abilities of Large Language Models to Solve Proportional Analogies via Knowledge-Enhanced Prompting A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-12T04:58:18.153837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:58:18.153837Z digest=sha256:273245f49446615bb7db4944a9d2b0b6a57efa4122b413b2a73e769ca3c52227

Pith citing papers

Observation ccca3d09-914f-4bc9-9329-de3be5aa2942 · inbound

LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts cites this paper.

LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts KnowledgePrompts: Exploring the Abilities of Large Language Models to Solve Proportional Analogies via Knowledge-Enhanced Prompting

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-10T21:16:24.089700Z

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=2026-08-10T21:16:23.956409Z digest=sha256:0e966b86790976a90fef736e3d7d1da51e371ccabb1e6c2b14497e580f80bf18