Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Enhancing textual textbook question answering with large language models and retrieval augmented generation
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.05128.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T04:56:22.327850Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T19:36:09.148954Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation a0d4639c-50d6-4fe0-8779-25b7670940f5 · inbound
Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs cites this paper.
Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs Enhancing textual textbook question answering with large language models and retrieval augmented generation
Reference 5
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T00:05:03.801500Z
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.
Observation 804bc4ce-4688-455e-bd4d-2b36704dd052 · inbound
MetaMorph: Multimodal Understanding and Generation via Instruction Tuning cites this paper.
MetaMorph: Multimodal Understanding and Generation via Instruction Tuning Enhancing textual textbook question answering with large language models and retrieval augmented generation
Reference 127
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T07:51:13.411409Z
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.
Observation 0c0ec4a2-7d79-49e2-8452-275762ab279b · inbound
Improving Multi-Step Reasoning Abilities of Large Language Models with Direct Advantage Policy Optimization cites this paper.
Improving Multi-Step Reasoning Abilities of Large Language Models with Direct Advantage Policy Optimization Enhancing textual textbook question answering with large language models and retrieval augmented generation
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T04:56:22.327850Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 828dfba4-b40b-42ed-918b-0a8d48a015fe · inbound
Political Events using RAG with LLMs cites this paper.
Political Events using RAG with LLMs Enhancing textual textbook question answering with large language models and retrieval augmented generation
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:05:30.383160Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7b672429-9400-4300-9289-aa61851fad97 · inbound
DeSQ: Decomposition-based SPARQL Query Generation cites this paper.
DeSQ: Decomposition-based SPARQL Query Generation Enhancing textual textbook question answering with large language models and retrieval augmented generation
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T19:36:09.150390Z
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.