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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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T04:58:18.207921Z digest=sha256:97c13172ff784882997935b9ff790538e2d8a8ad202bc18c29c1dda1a6377c7e

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T04:58:18.182551Z digest=sha256:54e47cd332db929cac38d5492b9171f71fc36096b74e2fa64fc1e0e0f7aa080b

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T04:58:18.172307Z digest=sha256:9a91640e08a6b9a014210cfb9f5d6e166ea5ddcde88580ad6369dc3e16c23f30

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T04:58:18.192432Z digest=sha256:3c2811d4920e90372d6c38458243c1ea84ecae8b9acf65b94ba5b4ec83d8c063

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T04:58:18.198223Z digest=sha256:6269276a0e8e13dde72ded7d5e3b3b30965d730494ae797561eea1abc16f4ee5

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T04:58:18.202874Z digest=sha256:10a8f8a102139ddea7b6d567fb3a0e862357fb445a7277a849d262f3404d1069

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T04:58:18.212819Z digest=sha256:a4f09d3c91181a33bf0d6f1ed25f54da8e1856f298f9df0c6b6b7471723b8f35

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T04:58:18.217679Z digest=sha256:e0f8909db5887a3e3297ef75d4fc93b570cd8822233db79642bbe782c459fe81

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T04:58:18.223106Z digest=sha256:c541fa3259a679ba268ef6ec6f0e1b5e7583aa09424cd616b4d80b92d532be73

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T04:58:18.228426Z digest=sha256:988de246e1707890942a451301246bb7337e4960d8e8d642fab936b1d61dc139

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T04:58:18.237704Z digest=sha256:3e8cc506d8bd03d1c393043d8cb0b516fb524d5561a1d896898bf12c617d68b9

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T04:58:18.247569Z digest=sha256:447ad8fd89ce15c9d07db2d4cc8c6cd20cf1d00cee7fd40f7537a223f77807b4

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T04:58:18.252579Z digest=sha256:b211fa050248ee7347f992329ccd5b45ca51f0032adebe3c6d9994475875bae1

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T04:58:18.257116Z digest=sha256:ec1a068d0711f24e1eb5839b84e3b807a78652abac29d05f711227f928616092

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T04:58:18.147920Z digest=sha256:b69f2da2b4b194f55de6f5af9710cd9edcb95e108960ab7992ce1880609395d9

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-10T21:16:23.956409Z digest=sha256:3a3052942f96a8d633d67e7e6c8b4d87f203ef7127c2e9634b1cea5f39458dec