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Paper Citation Record · LEDGER

An Entailment Tree Generation Approach for Multimodal Multi-Hop Question Answering with Mixture-of-Experts and Iterative Feedback Mechanism

As of 14 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2412.05821.

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

pith.paper-citation-record.v1
2412.05821 v2

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:23:34.842428Z

measured 30 of 30 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

30 of 30 outbound references displayed

  • verified exact1
  • verified fuzzy1
  • unresolved28
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a171f0f9-d756-4ed5-97b9-d4b1f2ab7fa7 · outbound

This paper cites an unresolved cited work.

An Entailment Tree Generation Approach for Multimodal Multi-Hop Question Answering with Mixture-of-Experts and Iterative Feedback Mechanism Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-11T20:23:34.056931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:23:34.056931Z digest=sha256:261c15b53d8412cf25c2b71dac9fd571408e1ed4a8c90b39d7103fc763fbffe8

Observation 1b4a1fb9-99ff-4f56-8c3a-e75a513260b5 · outbound

This paper cites an unresolved cited work.

An Entailment Tree Generation Approach for Multimodal Multi-Hop Question Answering with Mixture-of-Experts and Iterative Feedback Mechanism Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:23:35.985009Z

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=2026-08-11T20:23:34.136594Z digest=sha256:ff159c0e5f8952d289e444d8c804b9dbcbb0f9b1c43a5801986832f859b7006e

Observation a21cd74b-db7f-41a5-abf5-286de7037106 · outbound

This paper cites an unresolved cited work.

An Entailment Tree Generation Approach for Multimodal Multi-Hop Question Answering with Mixture-of-Experts and Iterative Feedback Mechanism Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:23:35.806544Z

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=2026-08-11T20:23:34.237700Z digest=sha256:75427927f1326c372093c9d1d2ce1a93b119e54d1d6979ebb677abf2acb9a7fa

Observation 56c87514-cf0e-41a9-aeda-92431e604e32 · outbound

This paper cites All You May Need for VQA are Image Captions.

An Entailment Tree Generation Approach for Multimodal Multi-Hop Question Answering with Mixture-of-Experts and Iterative Feedback Mechanism All You May Need for VQA are Image Captions

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T20:23:34.396167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:23:34.396167Z digest=sha256:64359d231f39115520689e253466bb611550879edc34bb69f3fe27aedc0e05a1

Observation d918e5d9-cb4b-4ed4-abef-7b8bd2f0f5d7 · outbound

This paper cites MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text.

An Entailment Tree Generation Approach for Multimodal Multi-Hop Question Answering with Mixture-of-Experts and Iterative Feedback Mechanism MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T20:23:34.526744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:23:34.526744Z digest=sha256:7627636fa5aedb2a9f5a9ece57c92557020a477790f45236402e386ffdf318cd

Observation 6786b901-a96e-49b1-afaa-1cbd6ae6ff21 · outbound

This paper cites an unresolved cited work.

An Entailment Tree Generation Approach for Multimodal Multi-Hop Question Answering with Mixture-of-Experts and Iterative Feedback Mechanism Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:23:35.712779Z

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=2026-08-11T20:23:34.560104Z digest=sha256:734f09ad27a6b4e3ba6d48305ba8fd8aa2d5270a72c958764d25f25cd0e012f5

Observation 3686741c-4d8d-4b8e-96c8-a18855c5a943 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

An Entailment Tree Generation Approach for Multimodal Multi-Hop Question Answering with Mixture-of-Experts and Iterative Feedback Mechanism BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T20:23:34.564898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:23:34.564898Z digest=sha256:b4c8caf487e242170b042e058637b7f407d46e59ac06d35e14f8d80b16cc33c5

Observation ce319c1f-932f-48eb-a503-fbcdce68b127 · outbound

This paper cites an unresolved cited work.

An Entailment Tree Generation Approach for Multimodal Multi-Hop Question Answering with Mixture-of-Experts and Iterative Feedback Mechanism Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:23:35.694512Z

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=2026-08-11T20:23:34.568562Z digest=sha256:5a284eb97802572a52e906884b6c1d34ad8357b45e4923278a7cc12a0e77f0be

Observation 969cac5a-0a70-40e6-a89f-5a6bf9602f1f · outbound

This paper cites Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners.

An Entailment Tree Generation Approach for Multimodal Multi-Hop Question Answering with Mixture-of-Experts and Iterative Feedback Mechanism Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T20:23:34.572697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:23:34.572697Z digest=sha256:9b28db0964e33663fdcaa59d0525c2ab69bc85fdb2d69832415f4801715a4ec9

Observation 85443b33-69e8-4ef1-9087-c0b12042afe8 · outbound

This paper cites an unresolved cited work.

An Entailment Tree Generation Approach for Multimodal Multi-Hop Question Answering with Mixture-of-Experts and Iterative Feedback Mechanism Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:23:35.617306Z

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=2026-08-11T20:23:34.576964Z digest=sha256:367b10b5dac559d1c0fdd0760edf11f2d7f9f622bbda495615dba287b4a5517b

Observation c4b3efcd-d3fe-4752-a88e-e9853aea592a · outbound

This paper cites an unresolved cited work.

An Entailment Tree Generation Approach for Multimodal Multi-Hop Question Answering with Mixture-of-Experts and Iterative Feedback Mechanism Unresolved cited work

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T20:23:34.580895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:23:34.580895Z digest=sha256:fe451167197261259e7a991b4531a678718def9166d893955cc689abb6a2f8ad

Observation 7226bca5-618a-4eec-81da-987b93a7782f · outbound

This paper cites an unresolved cited work.

An Entailment Tree Generation Approach for Multimodal Multi-Hop Question Answering with Mixture-of-Experts and Iterative Feedback Mechanism Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:23:35.533478Z

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=2026-08-11T20:23:34.585311Z digest=sha256:1a63cb30dbb8eb609f5e544aab15f0687023868d59a77a82efb32be7d79d2567

Observation b340e781-a3bb-423e-831e-3b42464b6c2f · outbound

This paper cites an unresolved cited work.

An Entailment Tree Generation Approach for Multimodal Multi-Hop Question Answering with Mixture-of-Experts and Iterative Feedback Mechanism Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:23:35.256706Z

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=2026-08-11T20:23:34.593427Z digest=sha256:3ab2757c59cef765b82b1f1a4e9dc1e2ca13ee24264f084a99ff0aae608bf039

Observation a35c2546-ab72-49f5-be82-d974bb34102c · outbound

This paper cites an unresolved cited work.

An Entailment Tree Generation Approach for Multimodal Multi-Hop Question Answering with Mixture-of-Experts and Iterative Feedback Mechanism Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T20:23:34.597588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:23:34.597588Z digest=sha256:c5e3c137df3d9c5d0580ced517e5fb43fe6e9d1d6bd2b6b255df94c3bf29dabd

Observation 376fc4fc-e669-4ce6-b552-b606c0ef3813 · outbound

This paper cites an unresolved cited work.

An Entailment Tree Generation Approach for Multimodal Multi-Hop Question Answering with Mixture-of-Experts and Iterative Feedback Mechanism Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:23:35.232083Z

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=2026-08-11T20:23:34.601530Z digest=sha256:89697472998e3ba9f13c5ff17f2f6605a85003fb42f37218539dbc18380cfd9b

Observation 4876f0b4-b791-47d4-b052-b95171da3d42 · outbound

This paper cites MMHQA-ICL: Multimodal In-context Learning for Hybrid Question Answering over Text, Tables and Images.

An Entailment Tree Generation Approach for Multimodal Multi-Hop Question Answering with Mixture-of-Experts and Iterative Feedback Mechanism MMHQA-ICL: Multimodal In-context Learning for Hybrid Question Answering over Text, Tables and Images

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T20:23:34.605595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:23:34.605595Z digest=sha256:4d0a461adb7c055c5d123d24c782e25621f1ea227edf627fd9e2264ea46152d0

Observation bd712e34-0a3a-4268-917d-857b3a862767 · outbound

This paper cites an unresolved cited work.

An Entailment Tree Generation Approach for Multimodal Multi-Hop Question Answering with Mixture-of-Experts and Iterative Feedback Mechanism Unresolved cited work

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-11T20:23:34.609752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:23:34.609752Z digest=sha256:65be6ca24b3db659cbbaf728e64f9ae5b6945ba0752e6a366b78f29df1fb7bb1

Observation 9cdf01f2-4af0-459d-9a76-b53543aeaa85 · outbound

This paper cites an unresolved cited work.

An Entailment Tree Generation Approach for Multimodal Multi-Hop Question Answering with Mixture-of-Experts and Iterative Feedback Mechanism Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:23:35.201358Z

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=2026-08-11T20:23:34.635662Z digest=sha256:b3b294c1f56250ce35639c3d29406a1f88aef05d1eb3fac66d1e8ff2d6f19d56

Observation 590f781e-8f27-4b0e-82b5-525e1ab164e4 · outbound

This paper cites an unresolved cited work.

An Entailment Tree Generation Approach for Multimodal Multi-Hop Question Answering with Mixture-of-Experts and Iterative Feedback Mechanism Unresolved cited work

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-11T20:23:34.695188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:23:34.695188Z digest=sha256:41b753d730739fb79072bc58df37118c237e9f91d42f8499523f0fe96dda9e73

Observation c547688d-e181-4e20-ade9-494f9052d84f · outbound

This paper cites an unresolved cited work.

An Entailment Tree Generation Approach for Multimodal Multi-Hop Question Answering with Mixture-of-Experts and Iterative Feedback Mechanism Unresolved cited work

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T20:23:34.769454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:23:34.769454Z digest=sha256:aab253bc2b058afc2001b179eacaf1fd87382842c19440ca3b6b92861e215b7a

Observation deb5e188-dd84-4462-af65-3ea9ac3a751e · outbound

This paper cites an unresolved cited work.

An Entailment Tree Generation Approach for Multimodal Multi-Hop Question Answering with Mixture-of-Experts and Iterative Feedback Mechanism Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:23:35.165519Z

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=2026-08-11T20:23:34.801943Z digest=sha256:428db0f45d3d39ccb30bbc658d1fbc6359daa5496c47bc98c2de79cb7262cc3f

Observation e73ad114-ebac-4cf3-86c9-adb93639811d · outbound

This paper cites MultiModalQA: Complex Question Answering over Text, Tables and Images.

An Entailment Tree Generation Approach for Multimodal Multi-Hop Question Answering with Mixture-of-Experts and Iterative Feedback Mechanism MultiModalQA: Complex Question Answering over Text, Tables and Images

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-11T20:23:34.806615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:23:34.806615Z digest=sha256:d2bb9bb248ad2692322be5f4a7a2a7cb7b3a4e580f738da2032943e435e0307a

Observation 0d3c59c8-f5e7-4148-b4ee-0eb7dcce833d · outbound

This paper cites an unresolved cited work.

An Entailment Tree Generation Approach for Multimodal Multi-Hop Question Answering with Mixture-of-Experts and Iterative Feedback Mechanism Unresolved cited work

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T20:23:34.811511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:23:34.811511Z digest=sha256:fdaf626f52d8a08321707565ae4ceecd64986ce68e9d8721f308f882e0fbd457

Observation c52623a0-88ab-488d-919c-11992c24ba5b · outbound

This paper cites OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models.

An Entailment Tree Generation Approach for Multimodal Multi-Hop Question Answering with Mixture-of-Experts and Iterative Feedback Mechanism OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-11T20:23:34.816815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:23:34.816815Z digest=sha256:625bcf215e778b7c18ec8a6a8d26f0455b8e0ec0aeed8f829bf70456b6f73696

Observation d03a94a6-358e-40ca-ad7f-1ab0efc01d19 · outbound

This paper cites Enhancing Multi-modal and Multi-hop Question Answering via Structured Knowledge and Unified Retrieval-Generation.

An Entailment Tree Generation Approach for Multimodal Multi-Hop Question Answering with Mixture-of-Experts and Iterative Feedback Mechanism Enhancing Multi-modal and Multi-hop Question Answering via Structured Knowledge and Unified Retrieval-Generation

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-11T20:23:34.932810Z

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=2026-08-11T20:23:34.822098Z digest=sha256:930d0050bb19c13e80677a2bc12bedfa039e7b4625d23887960ea381ee869c95

Observation 8e7be44e-640a-460c-9e22-eb732cf9d016 · outbound

This paper cites an unresolved cited work.

An Entailment Tree Generation Approach for Multimodal Multi-Hop Question Answering with Mixture-of-Experts and Iterative Feedback Mechanism Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:23:35.109493Z

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=2026-08-11T20:23:34.827545Z digest=sha256:43f1c3dc348b86f47674a6f48473ee2592449725429f7f75b57d7a7267171d3c

Observation b29d89f8-6f14-42ef-8611-ba2b195a1a59 · outbound

This paper cites an unresolved cited work.

An Entailment Tree Generation Approach for Multimodal Multi-Hop Question Answering with Mixture-of-Experts and Iterative Feedback Mechanism Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:23:35.096061Z

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=2026-08-11T20:23:34.832450Z digest=sha256:4862d59c3ff51e76e0712c1270464e62e8226d31ffd6f0b2579bdd77d6bd77d3

Observation a5992db5-c6cd-4be2-aa67-3d9d5e968db3 · outbound

This paper cites an unresolved cited work.

An Entailment Tree Generation Approach for Multimodal Multi-Hop Question Answering with Mixture-of-Experts and Iterative Feedback Mechanism Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:23:35.081058Z

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=2026-08-11T20:23:34.837898Z digest=sha256:ec20b88977dd1ca90ecb41342f721f17e9367c8cc7eda36939143a4cadd89f08

Observation 81735a40-58e6-4244-a93b-4207c5803238 · outbound

This paper cites ST-MoE: Designing Stable and Transferable Sparse Expert Models.

An Entailment Tree Generation Approach for Multimodal Multi-Hop Question Answering with Mixture-of-Experts and Iterative Feedback Mechanism ST-MoE: Designing Stable and Transferable Sparse Expert Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-11T20:23:34.842428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:23:34.842428Z digest=sha256:02a3dc388277831606e13dae36675895438043368234fb5f085ed2fe7703b6d7

Observation e030a92f-667c-4bb4-8f39-1fa386cb84bc · outbound

This paper cites In The Eleventh International Conference on Learning Representations.

An Entailment Tree Generation Approach for Multimodal Multi-Hop Question Answering with Mixture-of-Experts and Iterative Feedback Mechanism In The Eleventh International Conference on Learning Representations

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:23:35.347264Z

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=2026-08-11T20:23:34.589748Z digest=sha256:f099c9bd2b36bc828dca1ebec0f16afaf174b4d7b4387c1f4c221e5d65e73fa9

Pith citing papers

No inbound Pith citation observations are available.