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Paper Citation Record · LEDGER

DSPS: Differentiable Stellar Population Synthesis

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2112.06830.

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

pith.paper-citation-record.v1
2112.06830 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T11:06:11.036607Z

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 9f288dd9-5fa4-47da-bc82-83d4dd2341f5 · inbound

Forecasting neutrino mass constraints from the Nancy Grace Roman Space Telescope cites this paper.

Forecasting neutrino mass constraints from the Nancy Grace Roman Space Telescope DSPS: Differentiable Stellar Population Synthesis

Reference 85

Resolution
verified exact
arxiv_id, observed 2026-05-10T10:49:57.183899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T10:45:17.266279Z digest=sha256:663638518900837034b8dd6d2b6e0d2e0c6292c065185f4a5e1ab815a5eef155

Observation 44a16e46-2768-43a8-82cb-95512847fe86 · inbound

A machine learning approach to estimating HI deficiency in galaxies cites this paper.

A machine learning approach to estimating HI deficiency in galaxies DSPS: Differentiable Stellar Population Synthesis

Reference 75

Resolution
verified exact
local_arxiv, observed 2026-07-09T11:06:11.037918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-07-11T11:50:26.030339Z digest=sha256:eab9c2c326bada3b2fbbbdbb32a1eb20c51f52f833a29e6e35c9323cc4d5ee01