Paper Citation Record · LEDGER

Mosaic-IT: Cost-Free Compositional Data Synthesis for Instruction Tuning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2405.13326.

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

pith.paper-citation-record.v1
2405.13326 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:52:18.377193Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T17:41:53.132989Z

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 f3a1ab00-b309-47d8-8244-28568420b214 · inbound

Visual Compositional Tuning cites this paper.

Visual Compositional Tuning Mosaic-IT: Cost-Free Compositional Data Synthesis for Instruction Tuning

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-22T17:41:53.136963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6af645dc-ff40-49b0-a71a-43f22fe11a03 · inbound

What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding cites this paper.

What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding Mosaic-IT: Cost-Free Compositional Data Synthesis for Instruction Tuning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T05:52:18.377193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2976cbe7-3fa3-4259-a0e5-efffc3808660 · inbound

UniConv: Unifying Retrieval and Response Generation for Large Language Models in Conversations cites this paper.

UniConv: Unifying Retrieval and Response Generation for Large Language Models in Conversations Mosaic-IT: Cost-Free Compositional Data Synthesis for Instruction Tuning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T18:53:26.835834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbf33416-9f5c-453b-89b2-20a4bfe2f7ac · inbound

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once cites this paper.

REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at Once Mosaic-IT: Cost-Free Compositional Data Synthesis for Instruction Tuning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:31.498612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0d1c850-79d1-4bb1-9ba3-42628e79beb4 · inbound

Gaze-to-text Generation: Beyond Categorical Decoding of Human Attention cites this paper.

Gaze-to-text Generation: Beyond Categorical Decoding of Human Attention Mosaic-IT: Cost-Free Compositional Data Synthesis for Instruction Tuning

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-31T23:36:26.346122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.